BS-PH101
| BS-PH101 | Physics-I | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Interpret the properties of dielectric and magnetic materials using the laws of electromagnetism. | 2 |
| CO2 | Explain the phenomenon of wave optics. | 2 |
| CO3 | Use different theoretical approach to simplify the laws of classical physics. | 3 |
| CO4 | Apply different mathematical tools to simplify the basic concepts of fundamental physics. | 3 |
| CO5 | Predict the behavior of classical and quantum particles using the laws of quantum and statistical mechanics. | 3 |
| BS-PH101 - Physics-I | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 1 | 1 | - | - | - | - | - | - | - | 1 | - | 1 | - | - | - |
| CO2 | 1 | 1 | - | - | - | - | - | - | - | 1 | - | 1 | - | - | - |
| CO3 | 1 | 1 | - | - | - | - | - | - | - | 1 | - | 1 | - | - | - |
| CO4 | 1 | 1 | - | - | - | - | - | - | - | 1 | - | 1 | - | - | - |
| CO5 | 1 | 1 | - | - | - | - | - | - | - | 1 | - | 1 | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 1 | 1 | - | - | - | - | - | - | - | 1 | - | 1 | - | - | - |
BS-M101
| BS-M101 | Mathematics –IA | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recognize the fundamental mathematical tools needed to solve engineering science challenges. | 2 |
| CO2 | Understand vector spaces, their basis, and dimension with corresponding applications in the field of engineering science. | 2 |
| CO3 | Apply the concept and techniques of differential and integral calculus to determine curvature and evaluation of different types of improper integrals | 3 |
| CO4 | Use of different types of mean value theorems, matrices, the concept of rank, methods of matrix inversion, and their applications | 3 |
| CO5 | Analyze the concept of eigen values, eigen vectors, diagonalization of matrices, and orthogonalization in inner product spaces for understanding physical and engineering problems. | 4 |
| BS-M101 - Mathematics IA | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ES-EE101
| ES-EE101 | Basic Electrical Engineering | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recall the basic concepts of electric circuits, AC/DC machines, power converters and LT switchgear. | 1 |
| CO2 | Discuss the different theorems and laws applicable to electric circuits and ac voltage generation, working principle of AC/DC machines and devices, power converters and LT switchgear components. | 2 |
| CO3 | Determine different parameters of electric circuits, periodic waveforms, electrical machines, devices, power converters and LT switchgear components. | 3 |
| CO4 | Demonstrate the characteristics of electric circuits, periodic waveforms, electrical machines, devices, power converters and LT switchgear components. | 3 |
| CO5 | Distinguish between different electrical machines, devices, power converters and LT switchgear components. | 4 |
| ES-EE101 - Basic Electrical Engineering | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
BS-PH191
| BS-PH191 | Physics-I Laboratory (Gr-A) | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Determine the accuracy and precision in measurement. | 3 |
| CO2 | Show basic communication skills through working in groups in performing the laboratory experiments and by interpreting the results | 3 |
| CO3 | Determine various physical parameters and constants related to mechanics, optics, material science and quantum physics. | 3 |
| CO4 | Illustrate data graphically for different experimental methods. | 4 |
| BS-PH191 - Physics-I Laboratory (Gr-A) | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ESEE191
| ESEE191 | Basic Electrical Engineering Laboratory | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Explain the use voltmeters, ammeters, multimeters, oscilloscopes and different electrical connections. | 2 |
| CO2 | Determine the characteristics of transformers, dc and ac electrical machines. | 3 |
| CO3 | Apply different electrical instruments for measuring current, voltage, power etc. | 3 |
| CO4 | Demonstrate calibration of ammeters and watt meters | 3 |
| CO5 | Analyze transient and steady state behavior of RL, RC and RLC circuits. | 4 |
| ESEE191 - Basic Electrical Engineering Laboratory | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ESME192
| ESME192 | Workshop/Manufacturing Practices | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand fitting, pattern & mould making, casting operations using different hand tools. | 2 |
| CO2 | Describe fitting, pattern & mould making, casting operations using different hand tools. | 2 |
| CO3 | Demonstrate different welding, plastic moulding and glass cutting processes and different machining operations | 3 |
| CO4 | Execute house wiring applying basic electrical engineering knowledge following the safety rules | 3 |
| CO5 | Practice fitting, pattern & mould making, different welding processes and different machining operations in Lathe and Shaper following the safety rules | 4 |
| ESME192 - Workshop/Manufacturing Practices | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | |||||||||||||
| CO2 | 3 | 3 | |||||||||||||
| CO3 | 3 | 3 | 3 | ||||||||||||
| CO4 | 3 | 3 | 3 | 3 | 3 | ||||||||||
| CO5 | 3 | 3 | 3 | 3 | 3 | 3 | |||||||||
| CO6 | |||||||||||||||
| Average | 3 | 3 | 3 | - | - | 3 | 3 | - | 3 | - | - | 3 | - | - | - |
BSCH201
| BSCH201 | Chemistry-I | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Explain the fundamental concepts of structure, properties, and transformations of matter. | 2 |
| CO2 | Understand the laws and principles of microscopic and macroscopic molecules to explain their chemical and physical nature. | 2 |
| CO3 | Describe atomic arrangements, molecular projections, and major chemical reactions of various chemical compounds. | 2 |
| CO4 | Apply electromagnetic radiations at different molecular energy levels to accurately characterize the materials. | 3 |
| CO5 | Solve basic numerical problems based on fundamental concepts of chemistry. | 3 |
| BSCH201 - Chemistry-I | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
BSM201
| BSM201 | Mathematics –IIA | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Demonstrate the ideas of probability and random variables and various discrete and continuous probability distributions and their properties. | 2 |
| CO2 | Understand the basic ideas of statistics including measures of central tendency, correlation, and regression. | 2 |
| CO3 | Use statistical tools for analyzing data samples and drawing inferences on a given data set. | 3 |
| CO4 | Apply the basic concepts of classifications of design of experiments in the field of engineering and statistical quality control. | 3 |
| CO5 | Analyse mathematical problems of sampling distributions and statistical techniques for solving engineering and management problems. | 4 |
| BSM201 - Mathematics IIA | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ES-CS201
| ES-CS201 | Programming for Problem Solving | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Represent the solution of arithmetic and logical problems with simple algorithms and flowcharts. | 2 |
| CO2 | Translate the algorithms to programs using C language | 2 |
| CO3 | Decompose a problem into functions and synthesize a complete program using divide and conquer approach | 3 |
| CO4 | Use arrays, pointers, and structures to formulate algorithms and programs | 3 |
| CO5 | Apply the aquired knowledge for solving simple computing problems. | 3 |
| ES-CS201 - Programming for Problem Solving | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | 2 | - | - | - | - | - | - | - | - | - | 2 | - | 2 |
| CO2 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO3 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO4 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO5 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO6 | |||||||||||||||
| Average | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | 2 |
HM-HU201
| HM-HU201 | English | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Explain and interpret ideas in grammatically correct English | 2 |
| CO2 | Describe ideas using comprehensive vocabulary in English for ensuring effective communication | 2 |
| CO3 | Use contemporary formats for drafting business correspondences | 3 |
| CO4 | Determine and demonstrate with precision the different narrative techniques of communication | 3 |
| HM-HU201 - English | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
BSCH291
| BSCH291 | Chemistry-I Laboratory (Gr-A) | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Use different apparatus and instruments cautiously to obtain significant variables of matter. | 3 |
| CO2 | Interpret experimental data precisely through effective team communication. | 3 |
| CO3 | Apply laws and theories of chemistry to fundamental problems and derive insightful conclusions. | 3 |
| CO4 | Illustrate data systematically with a standard level of accuracy. | 4 |
| CO5 | Outline the logical and ecological perspectives concerning the physiochemical nature of matter. | 4 |
| BSCH291 - Chemistry-I Laboratory (Gr-A) | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ES-CS291
| ES-CS291 | Programming for Problem Solving | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Develop flowchart and algorithms for solving problems | 3 |
| CO2 | Translate the flowchart and algorithm to a program using C programming constructs. | 3 |
| CO3 | Use functions, different memory allocation schemes and user defined datatypes based on suitability. | 3 |
| CO4 | Optimize C codes. | 3 |
| ES-CS291 - Programming for Problem Solving | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | 2 |
| CO2 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO3 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO4 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | 2 | 2 | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | |||||||||||||||
| Average | 3 | 3 | 3 | - | - | - | - | - | - | - | - | 2 | 2 | - | 2 |
ESME291
| ESME291 | Engineering Graphics & Design(Gr-A) | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the fundamentals of engineering drawing including lettering, dimensioning and layout. | 1 |
| CO2 | Draw different types of curves used in engineering practice | 2 |
| CO3 | Develop the skills to draw the orthographic projections of lines, planes and solids in different orientations as observed in engineering practice | 3 |
| CO4 | Develop the skills to draw the isometric projections of solids and development of surfaces. | 3 |
| CO5 | Use AutoCAD software for drawing the projections of an object with proper dimensioning system | 3 |
| ESME291 - Engineering Graphics & Design(Gr-A) | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
HM-HU291
| HM-HU291 | Language Laboratory | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Demonstrate competence in listening, speaking and understanding abilities | 3 |
| CO2 | Use paralinguistic features during talking, like voice modulation, accent, tone | 3 |
| CO3 | Implement strategies of team-working skills for effective business operations | 3 |
| CO4 | Illustrate appropriate professional and social etiquettes while conversing in English | 4 |
| HM-HU291 - Language Laboratory | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
ESC301
| ESC301 | Analog and Digital Electronics | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | To acquire the basic knowledge of different analog components and their applications | 2 |
| CO2 | Apply different type of codes and number systems which are used in digital computing and communication systems | 2 |
| CO3 | Develop different types Logic circuit simplification using various mapping and mathematical methods | 3 |
| CO4 | Analyze, design and implement combinational including arithmetic logic circuits | 3 |
| CO5 | Analyze, design and implement sequential logic circuits | 3 |
| CO6 | Build the fundamental knowledge and analyze the operation of various A/D and D/A converters | 2 |
| ESC301 - Analog and Digital Electronics | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCC- CS301
| PCC- CS301 | Data Structure & Algorithms | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Describe time complexity with asymptotic notations. | 2 |
| CO2 | Compare the applications of different data structures and algorithms. | 2 |
| CO3 | Identify appropriate data structure & algorithmic methods in solving problem. | 3 |
| CO4 | Estimate the performances of various operations on different linear and nonlinear data structure from implementation perspective. | 3 |
| CO5 | Investigate real life application areas of different data structures and algorithms. | 4 |
| PCC- CS301 - Data Structure & Algorithms | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | - | 2 | - | - | - | - | - | - | - | - | 3 | - | - |
| CO2 | 3 | 3 | 2 | 1 | - | - | - | - | - | - | - | - | 3 | - | |
| CO3 | 3 | 3 | 2 | 2 | - | 3 | - | ||||||||
| CO4 | 3 | 3 | - | 2 | 2 | - | 3 | - | |||||||
| CO5 | 3 | 3 | - | 3 | - | 2 | 2 | 3 | - | ||||||
| Average | 3 | 3 | 2 | 2 | 2 | - | 2 | - | - | - | - | 2 | 3 | - | - |
PCC- CS302
| PCC- CS302 | Computer Organization | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the Basic Organization and Operation of Stored Program Computers | 1 |
| CO2 | Analyze the Role of Operating Systems and Compilers/Assemblers | 2 |
| CO3 | Explore Number Systems and Arithmetic Operations. | 3 |
| CO4 | Design and Implement Memory and Control Units | 3 |
| CO5 | Examine Advanced Computer Architecture Concepts | 4 |
| PCC- CS302 - Computer Organization | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | - | - | - | - | - | - | - | - | - | - | 2 | - | - | - |
| CO2 | 3 | 2 | - | - | - | - | - | - | - | - | - | 1 | 2 | - | - |
| CO3 | 3 | 2 | 2 | - | - | - | - | - | - | - | - | - | 2 | - | - |
| CO4 | 3 | 1 | - | 3 | - | - | - | - | - | - | - | - | 2 | - | - |
| CO5 | 3 | 2 | - | - | 2 | - | - | - | - | - | - | 2 | - | - | - |
| Average | 3 | 2 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | 2 | - | - |
BSC AIML301
| BSC AIML301 | Linear Algebra | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the basic mathematical tools of matrix and determinants to deal with problems of engineering sciences. | 2 |
| CO2 | Understand properties and application of Linear Algebra and functional analysis. | 2 |
| CO3 | Apply Functional analysis in Support Vector Machine and Linear Algebra in Dimension Reduction Technique and many more real-life problems. | 3 |
| CO4 | Analyze physical or engineering problems. | 4 |
| CO5 | Evaluate complex problems which are related to machine learning. | 5 |
| BSC AIML301 - Linear Algebra | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
HSMC 301
| HSMC 301 | Economics for Engineers (Humanities-II) | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Explain the concept of economic decision making, types of cost and cost estimation techniques. | 2 |
| CO2 | Apply the notion of cash flow, time value of money, risk and return, estimates and simulation in taking investment decisions to judge the financial aspects efficiently | 2 |
| CO3 | To utilize various criteria like rate of return analysis, present worth analysis and cost-benefit analysis to carry out engineering projects. | 3 |
| CO4 | Interpret factors of inflation while taking investment decision. | 5 |
| CO5 | Evaluate the financial position of an organization using the concepts of accounting like balance sheet and ratio analysis. | 5 |
| CO6 | To determine the optimum replacement period of an asset effectively. | 5 |
| HSMC 301 - Economics for Engineers (Humanities-II) | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCC- CS391
| PCC- CS391 | Data Structure & Algorithms Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Explain the implementation and operations of basic data structures: Linked list, stack, queue, tree and graph. | 2 |
| CO2 | Apply programming techniques using pointers, dynamic memory allocation and structures to implement data structures: stack, queue, tree and graph. | 3 |
| CO3 | Apply the knowledge of data structure to simulate different algorithms for solving real life problems. | 4 |
| CO4 | Design and implement new abstract datatypes using linked list, stack, queue, tree and graph with the help of programming implementations | 4 |
| PCC- CS391 - Data Structure & Algorithms Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | - | - | 2 | - | - | - | - | - | - | 1 | 3 | - | - |
| CO2 | 3 | 2 | 2 | - | 3 | - | - | - | - | - | - | 1 | 3 | - | - |
| CO3 | 3 | 3 | 2 | - | 2 | - | - | - | - | - | - | 1 | 3 | - | - |
| CO4 | 3 | 2 | 2 | - | 2 | - | - | - | - | - | - | 2 | 3 | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 2 | 2 | - | 2 | - | - | - | - | - | - | 1 | 3 | - | - |
ESC391
| ESC391 | Analog and Digital Electronics Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Set up standard experimental methods and select proper instruments to evaluate the performance characteristics of different electronic circuits. | 2 |
| CO2 | Identify the operation of various basic logic gates ICs to implement different digital circuits. | 2 |
| CO3 | Implement logic circuits for various code conversion, magnitude comparator and parity bit generator. | 2 |
| CO4 | Demonstrate the basic operation of different combinational circuits including arithmetic circuits. | 2 |
| CO5 | Demonstrate the basic operation of different flip-flops as a basic element of sequential circuits and to evaluate the applications of flip-flops as binary registers and counters used in large digital integrated circuits. | 2 |
| ESC391 - Analog and Digital Electronics Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCC- CS392
| PCC- CS392 | Computer Organization | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understanding the behavior of logic gates, Multiplexer, Demultiplexer, Encoder, Decoder, Adder | 1 |
| CO2 | Implement multi-bit Comparator circuit, Adder-subtractor composite circuit, BCD adder circuit using the basic logical unit. | 3 |
| CO3 | Implement high level Adder circuits using the knowledge of basic adder un | 3 |
| CO4 | Implement a composite functional unit of ALU using the concept of multiplexer | 3 |
| CO5 | Implement the read/write operation of RAM IC and cascade of RAM IC for vertical and horizontal expansion. | 3 |
| PCC- CS392 - Computer Organization | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 1 | 3 | 2 | |||||||||||
| CO2 | 3 | 2 | 1 | 3 | 2 | ||||||||||
| CO3 | 3 | 3 | 3 | 3 | 2 | ||||||||||
| CO4 | 3 | 3 | 3 | 3 | 2 | ||||||||||
| CO5 | 3 | 2 | 1 | 3 | 2 | ||||||||||
| CO6 | |||||||||||||||
| Average | 3 | 2 | 2 | - | 3 | - | - | - | 2 | - | - | - | - | - | - |
PCC- CS393
| PCC- CS393 | IT Workshop (Python/Matlab/R) | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Learn adequate knowledge to write, test, and debug simple Python programs | 1 |
| CO2 | Understand programming skills using the fundamentals and basics of Python Language. | 2 |
| CO3 | Improve problem solving skills using strings, and functions. | 3 |
| CO4 | Understand the compound data using Python lists, class, methods. | 3 |
| CO5 | Understand the concepts of inheritance, polymorphism and overriding. | 3 |
| PCC- CS393 - IT Workshop (Python/Matlab/R) | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 1 | 2 | 3 | 1 | 2 | ||||||||||
| CO2 | 1 | 2 | 3 | 1 | 2 | ||||||||||
| CO3 | 1 | 2 | 3 | 1 | 2 | ||||||||||
| CO4 | 2 | 3 | 1 | 2 | |||||||||||
| CO5 | 3 | 4 | 1 | 2 | |||||||||||
| CO6 | |||||||||||||||
| Average | 2 | 3 | 3 | - | - | - | - | - | - | - | - | - | 1 | 2 | - |
PCCCS401
| PCCCS401 | Discrete Mathematics | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand fundamental mathematical concepts such as sets, relations, functions, graph theory and integers with induction hypotheses. | 2 |
| CO2 | Solve numbers of possible outcomes of elementary combinatorial processes such as permutations and combinations. | 3 |
| CO3 | Explain a logic sentence in terms of predicates, quantifiers, and logical connectives. | 2 |
| CO4 | Interpret algebraic structure for a given mathematical problem. | 2 |
| CO5 | Apply knowledge of graph theory to solve mathematical problems. | 3 |
| PCCCS401 - Discrete Mathematics | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCCAIML 401
| PCCAIML 401 | Artificial Intelligence | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recognize the concepts of intelligence and the underleying principles of artificial intelligence. | 1 |
| CO2 | Explain various searching techniques and their scope of implementation. | 2 |
| CO3 | Apply the various forms of knowledge representation with it's suitability. | 3 |
| CO4 | Apply the concept of Natural Language Processing to understand cognitive science used in AI. | 3 |
| CO5 | Analyze logic with its resolution, which involve perception, reasoning and learning. | 4 |
| PCCAIML 401 - Artificial Intelligence | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | - | - | - | - | - | - | - | - | - | - | - | - | 1 | 1 |
| CO2 | 3 | 3 | 2 | 2 | - | - | - | - | - | - | - | - | - | 2 | 2 |
| CO3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | - | 1 | 1 | ||
| CO4 | 3 | 3 | 3 | 2 | - | - | - | - | - | 2 | 1 | ||||
| CO5 | 3 | 3 | 3 | 2 | - | 2 | - | - | - | 2 | 2 | ||||
| Average | 3 | 3 | 3 | 2 | - | 2 | - | - | - | - | - | - | - | 2 | 1 |
PCCAIML 402
| PCCAIML 402 | Optimization Techniques | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the theory of optimization methods and algorithms developed for solving various types of optimization problems | 2 |
| CO2 | Apply the concept of optimization techniques in decision making situations. | 3 |
| CO3 | Solve the optimization problems (linear and nonlinear) with various techniques / algorithms. | 3 |
| CO4 | Analyze various methods of optimization techniques to solve linear and non- linear problems. | 4 |
| CO5 | Evaluate the optimization problems (linear and nonlinear) related to real life | 5 |
| PCCAIML 402 - Optimization Techniques | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCCCS404
| PCCCS404 | Design and Analysis of Algorithm | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recollect the concept of asymptotic complexity (from Data Structure & Algorithm CS-302) and identify it with different notations. | 1 |
| CO2 | Determining the concept of best-case, worst-case, average-case complexity of standard problems and analyze each of them separately | 2 |
| CO3 | Utilize the different solution strategies available for same & different problems. | 3 |
| CO4 | Identify the different classes of problems and analyze the suited solution strategies with its merits and de-merits | 4 |
| CO5 | Experiment with the different properties of graph and classify its traversal techniques, evaluate ways of finding shortest paths | 5 |
| PCCCS404 - Design and Analysis of Algorithm | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | - | - | - | - | - | - | - | - | - | - | - | 3 | - | |
| CO2 | 2 | 3 | - | - | - | - | - | - | - | - | 3 | ||||
| CO3 | 3 | 3 | 1 | 2 | - | - | - | - | 2 | 3 | 1 | ||||
| CO4 | 3 | 3 | - | - | - | - | 2 | 3 | 1 | ||||||
| CO5 | 3 | 3 | 2 | 2 | - | - | - | - | 2 | 3 | - | ||||
| CO6 | |||||||||||||||
| Average | 3 | 3 | 2 | 2 | - | - | - | - | - | - | - | 2 | 3 | 1 | - |
BSC401
| BSC401 | Biology | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Describe the fundamental concepts of biology including biological classification, structural properties of biomolecules and enzyme action and micro-organisms. | 2 |
| CO2 | Illustrate the laws of inheritance and associated genetic disorders in humans. | 3 |
| CO3 | Discuss that all forms of life have the same building blocks and yet the manifestations are as diverse as one can imagine. | 2 |
| CO4 | Explain the molecular mechanism behind the transfer of genetic information | 2 |
| CO5 | Interpret various metabolic processes in terms of biochemical and thermodynamic point of view | 2 |
| BSC401 - Biology | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
MC401
| MC401 | Environmental Science | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the natural environment and its relationships with human activities | 2 |
| CO2 | Explain environmental laws and regulations to develop guidelines and procedures for promoting environmental protection, sustainable development, and corporate responsibility in both individual and organizational contexts | 2 |
| CO3 | Apply the fundamental knowledge of science and engineering to assess environmental and health risks | 3 |
| CO4 | Solve fundamental numerical problems concerning air, water, and noise quality management | 3 |
| MC401 - Environmental Science | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCCAIML491
| PCCAIML491 | Artificial Intelligence Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Demonstrate the features of the PROLOG programming language, including basic syntax, selection and search strategies of PROLOG. | 3 |
| CO2 | Explore syntax, semantics and natural deduction proof system of propositional and predicate logic. | 3 |
| CO3 | Apply concepts of recursion and sequences using prolog programming | 3 |
| CO4 | Analyze various real-life problems and solve using PROLOG programming language skills | 4 |
| CO5 | Demonstrate LISP programming language skills for solving real life problems | 3 |
| PCCAIML491 - Artificial Intelligence Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | 1 | 1 | 3 | 1 | - | - | - | - | - | - | - | 1 | - |
| CO2 | 3 | 3 | 2 | 2 | 3 | 2 | - | - | - | - | - | 2 | - | 1 | 2 |
| CO3 | 3 | 3 | 2 | 2 | 3 | 2 | - | - | - | - | - | 2 | - | 3 | 2 |
| CO4 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | 2 | - | 2 | 2 | - | 3 | 3 |
| CO5 | 3 | 2 | 1 | 1 | 3 | 1 | - | - | - | - | - | - | - | - | 2 |
| Average | 3 | 3 | 2 | 2 | 3 | 2 | - | - | 2 | - | 2 | 2 | - | 3 | 2 |
PCCCS494
| PCCCS494 | Design and Analysis of Algorithm Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Identify the time/space complexity of any given algorithm. | 1 |
| CO2 | Distinguish between two or multiple given algorithms for the same problem. | 2 |
| CO3 | Illustrate the application of the solution strategies with its merits and demerits. | 3 |
| CO4 | Construct the optimized solutions satisfying the problem requirements | 4 |
| CO5 | Demonstrate the different types of strategies /classes of problems in computer science. | 5 |
| PCCCS494 - Design and Analysis of Algorithm Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| CO2 | 2 | 3 | - | 3 | - | - | - | - | - | - | - | - | |||
| CO3 | 3 | 3 | 3 | 3 | 2 | 3 | 1 | ||||||||
| CO4 | 3 | 3 | 3 | 3 | 2 | 3 | 1 | ||||||||
| CO5 | 3 | 3 | 3 | 3 | 2 | 3 | - | ||||||||
| CO6 | |||||||||||||||
| Average | 3 | 3 | 3 | - | 3 | - | - | - | - | - | - | 2 | 3 | 1 | - |
PCCAIML 492
| PCCAIML 492 | Python II / R Programming Language Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Learn Syntax and Semantics and create Functions in Python. | 1 |
| CO2 | Handle Strings and Files in Python. | 4 |
| CO3 | send mail and read contents of URL using python | 4 |
| CO4 | Implement Object Oriented Programming concepts in Python. | 4 |
| CO5 | Build Web Services and introduction to Network and Database Programming in Python | 1 |
| CO6 | GUI control using python | 4 |
| PCCAIML492 - Python II / R Programming Language Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 2 | - | - | - | - | - | - | - | - | - | - | - | 1 | 2 | - |
| CO2 | 5 | 3 | - | - | - | - | - | - | - | - | - | - | 3 | 2 | - |
| CO3 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | 3 | 2 | 3 | - | - | - | - | - | - | - | - | - | 2 | 1 | - |
| CO5 | 5 | 1 | 2 | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | 3 | 3 | 3 | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 4 | 2 | 3 | - | - | - | - | - | - | - | - | - | 2 | 2 | - |
PCCAIML501
| PCCAIML501 | Probability and Statistics | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Demonstrate the ideas of calculus, probability, random variables and various discrete and continuous probability distributions and their properties. | 2 |
| CO2 | Understand the basic ideas of statistics including measures of central tendency, correlation and regression. | 2 |
| CO3 | Use statistical tools for analyzing data samples and drawing inferences on a given data set. | 3 |
| CO4 | Analyze mathematical problems of sampling distributions and statistical techniques for solving engineering and management problems. | 4 |
| CO5 | Solve mathematical problems on PDE, distributions and statistical techniques for engineering and management problems. | 3 |
| PCCAIML501 - Probability and Statistics | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCCCS502
| PCCCS502 | Operating System | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Describe the basics of the operating systems, mechanisms of handle processes, threads, and their communication. | 2 |
| CO2 | Demonstrate and Apply the algorithms for scheduling. | 3 |
| CO3 | Illustrate different conditions for deadlock and their possible solutions. | 4 |
| CO4 | Analyze the storage management policies for different storage management techniques. | 4 |
| CO5 | Select appropriate synchronization mechanism for classical and real-world synchronization scenarios | 5 |
| PCCCS502 - Operating System | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PEC AIML 501A
| PEC AIML 501A | CLOUD COMPUTING | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the concepts, key technologies, strengths, and limitations of cloud computing and the possible applications for state-of-the-art cloud computing. | 2 |
| CO2 | Explain the architecture stack involved in varied service layers. | 2 |
| CO3 | Apply the concept of Web Services, Service Oriented Architecture and APIs in building Cloud Applications.. | 3 |
| CO4 | Analyze the core issues of cloud computing such as security, privacy, and interoperability. | 4 |
| CO5 | Evaluate the appropriate cloud computing solutions and recommendations according to the applications. | 5 |
| PEC AIML 501A - CLOUD COMPUTING | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | - | - | - | - | - | - | - | - | - | 2 | - | - | - |
| CO2 | 3 | 3 | 2 | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | 3 | 3 | - | - | 3 | - | - | - | - | - | - | 2 | 3 | - | - |
| CO4 | 3 | 3 | - | - | 2 | 2 | - | - | - | - | - | - | - | - | - |
| CO5 | 3 | 3 | 3 | 3 | - | - | - | - | 3 | - | 1 | 3 | 3 | - | - |
| Average | 3 | 3 | 3 | 3 | 3 | 2 | - | - | 3 | - | 1 | 2 | 3 | - | - |
PCCCS503
| PCCCS503 | Object Oriented Programming | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understanding object-oriented paradigm and principles of object-oriented programming | 2 |
| CO2 | Demonstrate the requirement of object-oriented design process with respect to robustness, usability and portability in software development. | 2 |
| CO3 | Apply object-oriented design principles in software development. | 3 |
| CO4 | Prepare design documents using UML diagrams | 3 |
| CO5 | Choose proper design techniques in solving various problem statements. | 4 |
| PCCCS503 - Object Oriented Programming | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PCCAIML 502
| PCCAIML 502 | Introduction to Machine Learning | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Learn the basics of learning problems with hypothesis and version spaces | 2 |
| CO2 | Characterize the machine learning algorithms as supervised learning and unsupervised learning and apply and analyze the various algorithms of supervised and unsupervised learning | 2 |
| CO3 | Analyze the concept of neural networks for learning linear and non-linear activation functions | 3 |
| CO4 | Learn the concepts in Bayesian analysis from probability models and methods | 3 |
| CO5 | Application of machine learning to solve various real-world problems. | 4 |
| PCCAIML 502 - Introduction to Machine Learning | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | 3 | 2 | 2 | 2 | 1 | - | - | - | - | - | - | - | - | - | - |
| CO3 | 3 | 2 | 2 | - | 1 | - | - | - | - | - | - | - | - | - | - |
| CO4 | 3 | - | 2 | - | 2 | - | - | - | - | - | - | - | - | - | - |
| CO5 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | 3 | 2 | 2 | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 2 | 2 | 3 | 2 | 2 | - | - | - | - | - | 3 | 2 | 2 | - |
HSMC501
| HSMC501 | Introduction to Industrial Management | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Interpret given organization structure, culture, climate and major provisions of factory acts and laws. | 2 |
| CO2 | Explain MRP, PPC and store keeping procedure to create balance between supply and demand. | 2 |
| CO3 | Interpret value analysis, ERP and MS project to improve efficiency and reduction of cost. | 2 |
| CO4 | Analyze inventory control models and techniques to minimize the blockage of financial resources. | 4 |
| CO5 | Analyze and implement different techniques in completing various jobs on schedule. | 4 |
| HSMC501 - Introduction to Industrial Management | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
PECAIML 501B
| PECAIML 501B | Pattern Recognition | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recall of facts, specifics, and methods related to pattern recognition. | 1 |
| CO2 | Categorize the various pattern recognition techniques into supervised and unsupervised. | 2 |
| CO3 | Apply their knowledge of pattern recognition to solve problems or analyze new patterns. | 3 |
| CO4 | Analyze patterns and datasets to extract meaningful insights. | 4 |
| CO5 | Apply various machine learning techniques like artificial neural networks, Support Vector machines, Fuzzy inference engines etc.to solve real-world problems. | 4 |
| PECAIML 501B - Pattern Recognition | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | - | - | - | - | - | - | - | - | - | - | 1 | 1 | - |
| CO2 | 2 | 1 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | 3 | 3 | 2 | - | - | - | - | - | - | - | - | - | 2 | 2 | - |
| CO4 | 3 | 3 | - | 3 | - | - | - | - | - | - | - | - | 2 | - | - |
| CO5 | 3 | 3 | 2 | - | - | - | - | - | - | - | - | - | 2 | 2 | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 2 | 2 | 3 | - | - | - | - | - | - | - | - | 2 | 2 | - |
PCCCS592
| PCCCS592 | Operating System Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand basic LINUX Commands and shell scripting | 1 |
| CO2 | Use basic system calls of LINUX to understand several system details | 2 |
| CO3 | Apply system calls for process creation, thread creation, process synchronization, Inter process communication | 3 |
| CO4 | Implement the algorithms of CPU Scheduling, Deadlock Avoidance | 3 |
| CO5 | Apply system calls, analyze different handler functions for signal handling in OS | 4 |
| PCCCS592 - Operating System Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | - | - | - | - | - | - | 2 | - | - | - | |||
| CO2 | 3 | 3 | - | - | - | - | - | - | - | ||||||
| CO3 | 3 | 3 | 3 | - | - | - | 2 | - | - | ||||||
| CO4 | 3 | 3 | 3 | 2 | 3 | - | - | - | - | 2 | - | ||||
| CO5 | 3 | 3 | 3 | 3 | - | - | - | - | - | - | |||||
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 3 | 3 | 2 | 3 | - | - | - | - | - | - | 2 | 2 | 2 | - |
PCCCS593
| PCCCS593 | Object Oriented Programming & Java Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Demonstrate OOP features for solving object-oriented design problems. | 3 |
| CO2 | Choose appropriate features of Object-Oriented Programming in planning and designing a solution for a given problem. | 3 |
| CO3 | Interpret the solution of an object-oriented design problem using basic programming constructs and OOP features of Java Programming Language. | 3 |
| CO4 | Develop the solution using command line interface and graphical user interface (Swing) following the MVC Architecture. | 4 |
| PCCCS593 - Object Oriented Programming & Java Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | 2 | - | 3 | - | - | - | - | - | - | 3 | 3 | - | - |
| CO2 | 3 | 3 | 3 | - | 3 | - | - | - | - | - | - | 3 | 3 | - | - |
| CO3 | 3 | 3 | 3 | - | 3 | - | - | - | - | - | - | 3 | 3 | - | - |
| CO4 | 3 | 3 | 3 | - | 3 | - | - | - | - | - | - | 3 | 3 | - | - |
| CO5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 3 | 3 | - | 3 | - | - | - | - | - | - | 3 | 3 | - | - |
PCCAIML592
| PCCAIML592 | Machine Learning Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Apply supervised machine learning algorithms like Decision Tree, Regression, SVM and multilayer Perceptron in real life classification problems | 3 |
| CO2 | Make use of Association rule mining for classification tasks | 3 |
| CO3 | Apply bagging and boosting techniques to combine multiple learners | 3 |
| CO4 | Utilize various clustering algorithms to find natural patterns in data | 3 |
| CO5 | Compare the performances of various Machine Learning models using standard parameters and metrics | 4 |
| PCCAIML592 - Machine Learning Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | 2 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | 1 | - |
| CO2 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | - | - |
| CO3 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | - | - |
| CO4 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | - | - |
| CO5 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | 1 | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | 1 | - |
PCCAIML601
| PCCAIML601 | Machine Learning Applications | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand foundational concepts of machine learning approaches. | 2 |
| CO2 | Apply regression techniques like Linear Regression and Logistic Regression to solve real-world problems. | 3 |
| CO3 | Analyze the performance of Bayesian Learning methods on various datasets. | 4 |
| CO4 | Evaluate and compare various techniques like Support Vector Machines, Decision Trees and Instance Based Learning on different datasets. | 5 |
| CO5 | Model the solution of real-life problems using Deep Learning techniques, Genetic Algorithms and Reinforcement Learning. | 6 |
| PCCAIML601 - Machine Learning Applications | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 1 | - | - | 1 | 3 | - | - | - | - | - | - | 1 | - | - | - |
| CO2 | 3 | 1 | 1 | 1 | 3 | - | - | - | 3 | - | 1 | 2 | 1 | 1 | - |
| CO3 | 3 | 3 | 2 | 2 | 3 | - | - | - | 3 | - | 1 | 2 | 1 | 2 | - |
| CO4 | 3 | 3 | 2 | 3 | 3 | - | - | - | 3 | - | 1 | 2 | 2 | 3 | - |
| CO5 | 3 | 3 | 3 | 3 | 3 | - | - | - | 3 | 3 | 2 | 3 | 3 | 3 | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 3 | 2 | 2 | 3 | - | - | - | 3 | 3 | 1 | 2 | 2 | 2 | - |
PCCAIML602
| PCCAIML602 | Deep Learning | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Able to understand the mathematics behind functioning of artificial neural networks | 2 |
| CO2 | Analyze diferent neural network architecture and train them | 2 |
| CO3 | Learn about conditional random field and entropy | 3 |
| CO4 | Understand the architecture and mathematics behind RNN and CNN | 3 |
| CO5 | Able to carry out design and implementation of deep learning models for real world applications | 4 |
| PCCAIML602 - Deep Learning | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | - | - | - | - | - | - | - | - | - | - | - | 1 | - | - |
| CO2 | 3 | 2 | 1 | - | - | - | - | - | - | - | - | 1 | 1 | - | - |
| CO3 | 3 | - | 1 | 2 | - | - | - | - | - | - | - | 2 | 1 | 2 | 2 |
| CO4 | 3 | 2 | 2 | 2 | - | - | - | - | - | - | - | 3 | 2 | 2 | 2 |
| CO5 | 3 | 3 | 3 | 3 | - | - | - | - | - | - | - | 3 | 3 | 3 | 3 |
| Average | 3 | 2 | 2 | 2 | - | - | - | - | - | - | - | 2 | 2 | 2 | 2 |
PCCAIML603
| PCCAIML603 | Soft Computing | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the feasibility of applying a soft computing methodology for a particular problem. | 2 |
| CO2 | Apply the techniques of soft computing and foster their abilities in designing and implementing soft computing based solutions for real-world engineering problems. | 3 |
| CO3 | Apply neural networks to pattern classification and regression problems and compare solutions by various soft computing approaches for a given problem. | 3 |
| CO4 | Analyze and design fuzzy logic and reasoning to handle uncertainty and solve engineering problems. | 4 |
| CO5 | Assess genetic algorithms in optimization problems. | 5 |
| PCCAIML603 - Soft Computing | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | - | 2 | - | 2 | |
| CO2 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO3 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO4 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO5 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
PCCCS602
| PCCCS602 | Computer Networks | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recognize the various network terminology and underlying principles of computer networking. | 1 |
| CO2 | Understand the details and functionality of layered network architecture. | 2 |
| CO3 | Apply mathematical foundations to solve computational problems in computer networking. | 3 |
| CO4 | Analyze the performance of various communication protocols. | 4 |
| CO5 | Evaluate the challenges in building networks and solutions to those | 5 |
| PCCCS602 - Computer Networks | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| CO2 | 3 | 3 | 2 | 2 | - | - | - | - | - | - | - | - | - | - | - |
| CO3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | - | - | - | - | - |
| CO4 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | - | - | - | - | - |
| CO5 | 3 | 3 | 3 | 2 | - | 2 | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 3 | 3 | 2 | - | 2 | - | - | - | - | - | - | - | - | - |
PECAIML 601B
| PECAIML 601B | Data Mining | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Learn data mining basic concepts and understand association rules mining. | 2 |
| CO2 | Capable of grouping data using clustering techniques. | 3 |
| CO3 | Able to identify the outliers of the given dataset. | 4 |
| CO4 | Capable of minimizing dimensionality of the data with minimum loss of information. | 3 |
| CO5 | Able to prioritize the web links and advertisements. | 2 |
| PECAIML 601B - Data Mining | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 2 | 3 | 2 | 2 | 2 | 2 | - | - | - | - | 2 | 2 | 2 | 1 | - |
| CO2 | 2 | 2 | 2 | 2 | 2 | 2 | - | - | - | - | 2 | 2 | 2 | 1 | - |
| CO3 | 2 | 2 | 2 | 2 | 3 | 2 | - | - | - | - | 2 | 2 | 1 | 2 | - |
| CO4 | 2 | 2 | 1 | 2 | 2 | 2 | - | - | - | - | 1 | 2 | 2 | 1 | - |
| CO5 | 1 | 2 | 1 | 1 | 2 | 2 | - | - | - | - | 1 | 2 | 1 | 1 | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 2 | 2 | 2 | 2 | 2 | 2 | - | - | - | - | 2 | 2 | 2 | 1 | - |
OECAIML 601A
| OECAIML 601A | Database Management System | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | State the importance of DBMS and describe fundamentals elements of a relational data models | 1 |
| CO2 | Recognize the basics of SQL and construct queries using SQL, Relational Algebra and Calculus | 2 |
| CO3 | Improve the schemas by applying Normal Forms address the problems like decomposition, functional dependencies and redundancy | 3 |
| CO4 | Analyze the basic issues of transaction processing, recovery techniques and concurrency control | 4 |
| CO5 | Evaluate team work by design and development of a database application system | 5 |
| OECAIML 601A - Database Management System | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | ||||||||||||||
| CO2 | 3 | 2 | 3 | 2 | 2 | ||||||||||
| CO3 | 3 | 2 | |||||||||||||
| CO4 | 3 | 2 | |||||||||||||
| CO5 | 3 | 2 | 3 | 3 | 2 | ||||||||||
| CO6 | |||||||||||||||
| Average | 3 | 2 | 3 | - | 3 | - | - | - | - | - | - | - | 2.5 | 2 | - |
PCCAIML691
| PCCAIML691 | Machine Learning Applications lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Apply learning algorithms like multivariate linear regression and logistic regression with regularization in real world scenarios | 3 |
| CO2 | Make use of Decision Tree and SVM algorithms to solve appropriate learning problems | 3 |
| CO3 | Apply bagging and boosting techniques to combine multiple learners | 3 |
| CO4 | Apply unsupervised learning techniques like clustering and PCA for finding patterns and dimensionality reduction respectively | 3 |
| CO5 | Analyze and compare models and algorithms with respect to their applicability, complexity and performance | 4 |
| PCCAIML691 - Machine Learning Applications lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | 2 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | 1 | - |
| CO2 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | - | - |
| CO3 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | - | - |
| CO4 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | - | - |
| CO5 | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | 1 | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 1 | 1 | 2 | 3 | - | - | - | 1 | - | - | 2 | 2 | 1 | - |
PCCAIML693
| PCCAIML693 | Soft Computing Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Understand the feasibility of applying a soft computing methodology for a particular problem. | 2 |
| CO2 | Apply the techniques of soft computing and foster their abilities in designing and implementing soft computing based solutions for real-world engineering problems. | 3 |
| CO3 | Apply neural networks to pattern classification and regression problems and compare solutions by various soft computing approaches for a given problem. | 3 |
| CO4 | Analyze and design fuzzy logic and reasoning to handle uncertainty and solve engineering problems. | 4 |
| CO5 | Assess genetic algorithms in optimization problems. | 5 |
| PCCAIML693 - Soft Computing Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | - | 2 | - | 2 | |
| CO2 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO3 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO4 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO5 | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 3 | 3 | 3 | 3 | 2 | - | - | - | - | - | - | 2 | - | 2 |
PCCCS692
| PCCCS692 | Computer Networks Lab | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Implement inter process communication using message queue | 3 |
| CO2 | Identify and use various networking components, administrative tools and services for Network installation and troubleshooting | 2 |
| CO3 | Demonstrate Error detection techniques using CRC polynomial | 3 |
| CO4 | Analyze the traffic flow and the contents of Protocol Data Unit using packet sniffing Software | 4 |
| CO5 | Implement socket programming using client server architecture | 3 |
| PCCCS692 - Computer Networks Lab | |||||||||||||||
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 | |
| CO1 | 3 | 2 | 3 | - | 3 | - | - | - | - | - | - | - | - | - | - |
| CO2 | 3 | 2 | - | - | 3 | - | - | - | - | - | - | 3 | - | - | - |
| CO3 | 3 | 2 | 3 | - | 3 | - | - | - | - | - | - | - | - | - | - |
| CO4 | 3 | 2 | - | - | 3 | - | - | - | - | - | - | - | - | - | - |
| CO5 | 3 | 2 | 3 | - | 3 | - | - | - | - | - | - | - | - | - | - |
| CO6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Average | 3 | 2 | 3 | - | 3 | - | - | - | - | - | - | 3 | - | - | - |
PEC AIDS701(A)
| PEC AIDS701(A) | Social Network Analysis | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Identify key concepts, terminologies, and theories related to social network analysis | 1 |
| CO2 | Explain the fundamental principles methods used in social network analysis, including nodes, edges, and network structures. | 2 |
| CO3 | Use techniques to analyze real-world social networks and visualize network data. | 3 |
| CO4 | Examine and evaluate the structure and dynamics of social networks by identifying patterns, clusters, and key influencers within a network. | 4 |
| CO5 | Assess the effectiveness of different network models and methodologies in various social contexts and organizational settings. | 4 |
OEC AIDS 701 (A)
| OEC AIDS 701 (A) | Internet of Things | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recall the fundamental concepts, components, and technologies of the Internet of Things, including sensors, connectivity, and cloud platforms. | 1 |
| CO2 | Explain how IoT systems work, including the interaction between devices, networks, and cloud services, and how they are used to gather and process data. | 2 |
| CO3 | Demonstrate the ability to configure and deploy IoT devices and systems, using appropriate protocols and platforms for data collection, analysis, and visualization. | 3 |
| CO4 | Analyze IoT network topologies, data flows, and security challenges, and identify potential areas for improvement in an IoT system's design and performance. | 4 |
| CO5 | Critically evaluate the scalability, security, and energy efficiency of IoT solutions in various industries, considering practical constraints and emerging trends. | 4 |
PEC AIDS 601(B)
| PEC AIDS 601(B) | Foundation Data Mining | BT Level |
| Upon successful completion of this course, the students will be able to | ||
| CO1 | Recall key concepts, techniques, and algorithms used in data mining, such as classification, clustering, association rule mining, and data preprocessing. | 1 |
| CO2 | Explain the principles behind various data mining techniques, including the underlying algorithms and how they are applied to different types of data. | 2 |
| CO3 | Apply data mining algorithms to real-world datasets to extract meaningful patterns, trends, and insights using relevant tools and software. | 3 |
| CO4 | Analyze and compare the performance of different data mining algorithms, including their strengths, weaknesses, and suitability for specific types of data or problems. | 4 |
| CO5 | Evaluate the quality of mined patterns, considering factors like accuracy, precision, recall, and interpretability, and assess the ethical implications of data mining results. | 5 |