Sample Course Plan

CST205 OBJECT ORIENTED PROGRAMMING USING JAVA
(B.TECH 2019 – 2023 CSE A BATCH)

Sl.No. Module Proposed Date Topic Delivery Method
1 1 8/18/2020 Approaches to Software Design- Functional Oriented Design. Object-Oriented Design, Case Study of Automated Fire Alarm System. Presentation+Live class
2 8/18/2020 Basic object oriented concepts Presentation+Live class
3 8/20/2020 Object Modeling Using UML-UML diagrams, Use case model Video Lecture
4 8/21/2020 Class diagram, Interaction diagram Video Lecture
5 8/25/2020 Activity diagram, State chart diagram Video Lecture
6 8/27/2020 Java programming Environment and Runtime Environment, Development Platforms -Standard, Enterprise. Presentation+Live class
7 9/8/2020 JVM, Java compiler, Bytecode,Java applet, Java Buzzwords, Java program structure Presentation+Live class
8 9/10/2020 Comments,Lexical Issues,Garbage Collection Seminar+Live class

 

9 2 9/11/2020 Core Java Fundamentals: Primitive Data types, Integers, Floating Point Types, Characters, Boolean Presentation+Live class
10 9/15/2020 Literals, Type Conversion and Casting, Variables, Arrays, Strings,Vector class. Presentation+Live class
11 9/17/2020 Operators: Arithmetic Operators, Bitwise Operators, Relational Operators, Boolean Logical Operators, Assignment Operator,Conditional (Ternary) Operator, Operator Precedence. Presentation+Live class
12 9/18/2020 Control Statements: Selection Statements, Iteration Statements and Jump Statements. Presentation+Live class
13 9/22/2020 Object Oriented Programming in Java: Class Fundamentals, Declaring Objects, Object Reference, Introduction to Methods Presentation+Live class
14 9/24/2020 Constructors, this Keyword, Method Overloading Presentation+Live class
15 9/25/2020 Using Objects as Parameters Presentation+Live class
16 9/29/2020 Returning Objects, Recursion Presentation+Live class
17 10/1/2020 Access Control, static Members Presentation+Live class
10/05/20,10/6/20,10/7/20 Series Exam 1
18 10/8/2020 Final Variables, Inner Classes, Command-Line Arguments, Variable Length Arguments Presentation+Live class
19 10/9/2020 Inheritance : Super class, Sub class, the keywords super, protected Members Presentation+Live class
20 10/13/2020 Calling Order of Constructors, Method Overriding, the Object class Presentation+Live class
21 10/15/2020 Abstract Classes and Methods, Using final with Inheritance Presentation+Live class

 

22 3 10/16/2020 Packages and Interfaces: Defining Package, CLASSPATH, Access,Protection, Importing Packages Presentation+Live class
23 10/20/2020 Interfaces Presentation+Live class
24 10/22/2020 Input / Output: I/O Basics, Reading Console Input, Writing Console,Output, PrintWriter Class Presentation+Live class
25 10/23/2020 Object Streams and Serialization Presentation+Live class
26 10/27/2020 Working with Files Presentation+Live class
27 10/30/2020 Exception Handling: Checked Exceptions, Unchecked Exceptions, try block and catch Clause Presentation+Live class
28 11/3/2020 Multiple catch Clauses, Nested try Statements Presentation+Live class
29 11/5/2020 throw, throws and finally Presentation+Live class

 

30 4 11/6/2020 Java Library: String Handling – String Constructors, String Length,Special String Operations Presentation+Live class
31 11/10/2020 Character Extraction, String Comparison, Searching Strings,Modifying Strings Using valueOf( ), Comparison of String Buffer and String. Presentation+Live class
32 11/12/2020 Collections framework – Collections overview, Collections Interfaces-Collection Interface Presentation+Live class
33 11/13/2020 List Interface, Collections Class – ArrayList Class Presentation+Live class
34 11/17/2020 Accessing Collections via an Iterator. Presentation+Live class
35 11/19/2020 Event handling: Event Handling Mechanisms, Delegation Event Model Presentation+Live class
36 11/20/2020 Delegation Event Model, Event Classes Presentation+Live class
37 11/24/2020 Sources of Events, Event Listener Interfaces, Using the Delegation Model Presentation+Live class
11/25/20, 11/26/20, 11/27/20 Series Exam 2
38 12/1/2020 Multithreaded Programming: The Java Thread Model, The MainThread, Creating Multiple Threads Presentation+Live class
39 12/3/2020 Synchronization, Suspending, Resuming and Stopping Threads. Video Lecture

 

40 5 12/4/2020 Swings fundamentals, Swing Key Features Video Lecture
41 12/8/2020 MVC, Swing Controls, Components and Containers Presentation+Live class
42 12/10/2020 Swing Packages, Event Handling in Swings. Presentation+Live class
43 12/11/2020 Swing Layout Managers Presentation+Live class
44 12/15/2020 Exploring Swings –JFrame, JLabel, The Swing Buttons, JTextField. Video Lecture
45 12/17/2020 JDBC overview, Creating and Executing Queries – create table,delete, insert, select . Video Lecture
46 12/18/2020 Creating and Executing Queries – create table, delete, insert, select. Presentation+Live class
47 12/22/2020 Creating and Executing Queries – create table, delete, insert, select. Presentation+Live class
48 12/24/2020 Revision

SAMPLE ATTAINMENT

The target to be achieved for each course includes two parameters:

1. Expected Proficiency /Knowledge (EP) :-
It is the grade secured by around 50% of the total number of students in the previous university examinations.

2. Expected Attainment (EA) :-The percentage of students who attain the expected proficiency.

A table showing the procedure for fixing the target for the course Soft Computing (CS361) is shown below:

Grades >=90% (O) 85% – 89% (A+) 80% – 84% (A) 70% – 79% (B+) 60% – 69% (B) 50% – 59% (C ) 45% – 49% (P) <45% (F) No. of students Registered
2016-17(s5) 2 13 10 36 27 16 2 11 117
2015-16(s8) 0 2 24 37 34 0 8 105
2014-15(s8) 0 2 0 31 39 22 0 6 100
No. of Students Obtained The grade 2 17 10 91 103 72 2 25 322
Average 0.0062 0.0528 0.0311 0.2826 0.3199 0.2236 0.0062 0.0776
Average (%) 0.62 5.28 3.11 28.26 31.99 22.36 0.62 7.76
Cumulative (%) 0.62 5.9 9.01 37.27 69.26 91.62 92.24 100
0.62 5.9 9.01 37.27 69.3 91.62 92.24 100

 

TARGET FIXING
Expecting Improvement percentage =30% For Timeline of 6 years with 5% improvement in each year from the base year.
Expected Proficiency B grade (60%) More than 50% students scored at least B grade
Expected Attainment 72.8 For the Academic year 2018-19, expected attainment is 72.8% (69.3 + 5% improvement).
76.2 For the Academic year 2019-20, expected attainment is 76.2% (69.3 + 10% improvement).
79.7 For the Academic year 2020-21, expected attainment is 79.7% (69.3 + 15% improvement).

 

ATTAINMENT LEVELS TARGET
1 50.00% Students scoring more than 70.00% marks out of the relevant maximum marks
2 60.00% Students scoring more than 70.00% marks out of the relevant maximum marks
3 70.00% Students scoring more than 70.00% marks out of the relevant maximum marks

Course Outcome Attainment:

Course Code : Cs361
Course Name : Soft Computing

Course Outcome Assessments
 Course Outcomes
CS361.1 CS361.2 CS361.3 CS361.4 CS361.5 CS361.6
DIRECT ASSESSMENT 99.19 95.97 98.39 84.68 18.55 87.1
INDIRECT ASSESSMENT 95.16 95.16 95.97 95.97 95.16 94.35
UNIVERSITY ASSESSMENT 80.65 80.65 80.65 80.65 80.65 80.65
CO Attainment % 89.52 88.23 89.28 83.79 57.26 84.6
Attainment Level 3 3 3 3 1 3
Overall CO Attainment % 83
Overall CO Attainment Level 3
Expected Attainment 79.7

CO attainment (each) = 40% of direct assessment + 50% of university assessment + 10% of indirect assessment.

Eg: For CO1, attainment = 0.4*99.19 + 0.5* 80.65 + 0.1*95.16 = 89.52

Attainment level for CO1 is 3. (High attainment level)

PO-PSO Mapping to CO

Academic Year: 2021-22
Semester: S2
Course Code: EST102
Course Name Programming in C
Course
Outcome		 Statement Knowledge Level
EST102.1 Explain the basics of computer hardware & software, algorithms , flowcharts ,C programming language constructs, and storage class specifiers K2
EST102.2 Solve computational problems using algorithms/flowcharts K3
EST102.3 Develop C programs with branching and looping statements, which uses Arithmetic, Logical, Relational or Bitwise operators K3
EST102.4 Develop C programs using arrays, strings, pointers,functions, recursion and structure/union K3
EST102.5 Develop C programs using files and apply file handling mechanisms for data processing K3
EST102.6 Analyze computational problems using algorithms/flowcharts and appropriate C programming language constructs K4

CO-PO MAPPING

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
EST102.1 2 1 0 0 0 0 0 0 0 0 0 0
EST102.2 3 2 1 1 2 0 0 1 2 2 0 2
EST102.3 3 2 1 1 2 0 0 1 2 2 0 2
EST102.4 3 2 1 1 2 0 0 1 2 2 0 2
EST102.5 3 2 1 1 2 0 0 2 2 2 0 2
EST102.6 3 3 2 2 2 3 0 1 3 2 1 3
Overall Mapping 2.83 2 1.2 1.2 2 3 0 1.2 2.2 2 1 2.2
3 2 2 2 2 3 0 2 3 2 1 3

 

CO-PSO MAPPING

PSO1 PSO2
EST102.1 1 2
EST102.2 2 3
EST102.3 2 3
EST102.4 2 3
EST102.5 2 3
EST102.6 2 3
Overall Mapping 1.83 2.83
2 3

Admission

Why Computer Science & Engineering / Computer Science & Design?

Computer Science professionals play a crucial role in driving technological innovation and digital transformation across the world.

Pursuing a B.Tech degree in Computer Science & Engineering or Computer Science & Design opens up a wide range of career opportunities in both private and public sectors. It offers excellent job prospects and global career growth in areas such as Software Development, Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Cloud Computing, Web and Mobile Application Development, Internet of Things (IoT), UI/UX Design, Animation and Digital Product Design.

Computer Science engineers contribute significantly to the advancement of modern society by developing intelligent systems, digital platforms, and innovative solutions. This makes Computer Science a dynamic, ever-evolving, and highly in-demand field, essential for shaping the future of technology and digital experiences.

A degree in CSE or CSD provides diverse career paths including software engineering, system design, product development, data analytics, research, entrepreneurship, and academia, with opportunities available worldwide.

Why Choose FISAT

  • Excellent Placement Support
    Strong placement training and opportunities in leading IT, software, and analytics companies.
  • Research & Publications
    Encouragement for research, paper publications, and participation in conferences, especially in AI & Data Science.
  • Innovation & IDEA Lab
    Facilities for innovation, project development, and startup ideas through IDEA Lab and technical clubs.
  • Industry-Focused Curriculum
    Programs in CSE, CSD, and AI & Data Science aligned with modern technologies and industry needs.
  • Quality Education & Campus Environment
    Experienced faculty, good infrastructure, and a disciplined academic environment supporting overall student growth.

Add-On Course offered by the Department

Even Semester

 

Azure ( AZ-900)( Microsoft ) changed to AWS Cloud Foundation
Sensors & Interface (Stem.org) – suggested change to IoT using Python (Stem.org)
Machine Learning (Intel )
HTML & CSS (Pearson VUE)

 

Odd Semester

 

BMS Automation/ SE – BMS Track SCHNIEDER ELECTRIC
IOT Fundamentals/ Track IOT IBM
AWS Cloud Foundation/Track IOT AWS Academy
Matlab Fundamentals/ Home Automation and Software

Simulation Track- Mathworks- OEM

 

Semester Course Duration in Hours Course Details
I Training on Latex Documentation 8 Students can learn how to document for professional publications and scientific writing through the Complete LaTex Course.
II Training on Arduino 15 Students are able to comprehend how to interface any device, in particular different sensors with an Arduino Uno.
III Training on FUSION 360 7 The fundamentals of Fusion 360 training presents core Fusion 360 ideas before demonstrating how to begin modeling.
IV AI & Soft Computing 15 IOT and Python Programming for Machine Learning
IV Robotics & Automation 15 IOT and Introduction to Robotics
V Placement orientation and training Program 30 Train the students to meet the expectations of the industry through our Career Development Programs.
V Data Structures & Algorithm using Java 15 Learn Data Structures , Algorithms & Problems Solving techniques  and System Design
VI AI & Soft Computing 15 Machine learning and Deep learning techniques
VI Robotics & Automation 15 LABVIEW and Advanced Robotics
VII PLC & VFD 30 Learn about the Programmable logic controllers and variable frequency drive.

Ph.D

Department of Civil Engineering is a recognized research centre under APJ Abdul Kalam Technological University. The department offers facilities for full time research and part time research.

KTU Approved Research Guides of the department are

Name of Faculty Designation Area of Interest
Dr. Unni Kartha G Professor Soil Structure Interaction, Earthquake Geotechnical Engineering, Finite Element Method, Parallel Computing, Machine learning, Teaching Learning Process.
Dr. Kavitha PE Associate Professor Soil Structure Interaction Analysis, Structural Analysis, Concrete Technology
Dr. Asha Joseph Associate Professor Seismic analysis of structures

Sample Course Plan

 

Course Name: Electronic Devices and Circuits

Course Code: PCAET302

Module No. Syllabus Description Contact Hours
1 Wave shaping circuits – First order RC low pass and high pass filters,

Differentiator and Integrator, Diode clipping circuits, Diode clamping

circuits, Voltage multipliers

Transistor biasing -Concept of DC and AC load lines, Types -Fixed bias

circuit, Self-bias, voltage divider bias, Bias stabilization.

Switching Circuits -Astable, Bistable and Monostable multivibrators,

Schmitt Trigger.

 11
2 BJT amplifiers – RC coupled amplifier –Design, Voltage gain and

frequency response. Small signal analysis of CE configuration – Small signal hybrid-pi model for mid and low frequency (Gain, Input and output impedance). High frequency equivalent circuits of BJT, Miller effect, Analysis of high frequency response of CE amplifier.

Multistage amplifiers – Cascade and Cascode amplifiers – Design, Effect on gain and bandwidth.

 11
3 MOSFETs – MOSFET as an amplifier, Biasing of p-channel and n-channel MOSFET circuits, Small signal equivalent circuit, Small signal Voltage gain, current gain, input and output impedances of CS configuration, CS stage with diode connected load.

Feedback topologies – Effect of positive and negative feedback on gain,

frequency response and distortion, Feedback topologies and its effect on

input and output impedance, Feedback amplifier circuits using BJT in each feedback topologies (Analysis of only Voltage series feedback circuit is required)

 11
4 Oscillators – Introduction, Barkhausen criterion, Classification of oscillators – RC phase shift, Wien bridge, Hartley, Colpitts and Crystal oscillators (working principle and design equations of the circuits only). Analysis of RC phase shift oscillator.

Power amplifiers – Classification, Transformer coupled class A power

amplifier, push pull class B and class AB power amplifiers, complementary symmetry class B and class AB power amplifiers, Class C power amplifier efficiency and distortion (no analysis required).

Regulated power supplies – Load and line regulation, Series voltage

regulator, shunt voltage regulator, Short circuit protection and fold back

protection.

 11

Sample PO-PSO Mapping to CO

PO-PSO Mapping to CO

Course Name: Electronic Devices and Circuits

Course Code: PCAET302

Course

Outcomes  (COs) 

code

&

Statement

 Program Outcomes (POs) Program

Specific 

Outcomes

(PSOs)
PO

1

 PO

-2

 PO

-3

 PO

4

 PO

5

 PO

-6

 PO

-7

 PO

-8

 PO

-9

 PO

10

 PO

11

 PSO

1

 PSO

2
CO-1 3 3 2               3 2 1
CO-2 3 3 –               3 2 1
CO-3 3 3 2               3 2 1
CO-4 3 3 2               3 2 1
CO-5 3 1 2               3 2 1

Sample CO Attainment

Program Electronics and Instrumentation Engineering(KTU) Academic Year 2024-2025
Course Logic Circuit Design Course PCEIT205
Expected Proficiency 60
Assessment Method Weightage
DIRECT ASSESSMENT 40
INDIRECT ASSESSMENT 10
UNIVERSITY ASSESSMENT 50

 

Overall CO attainment level
Criteria Attainment Level
Percentage of weighted average of CO attainment is greater than or equal to Expected Attainment. 3
Percentage of weighted average of CO attainment is less than Expected Attainment but greater than or equal to 70% of Expected Attainment 2
Percentage of weighted average of CO attainment is less than 70% of Expected Attainment but greater than or equal to 50% of Expected Attainment. 1

 

 

Course Outcome Assessments Course Outcomes
PCEIT205.1 PCEIT205.2 PCEIT205.3 PCEIT205.4 PCEIT205.5
DIRECT ASSESSMENT 65.22 66.18 39.13 97.1 83.57
INDIRECT ASSESSMENT 94.12 97.06 95.1 94.61 93.63
UNIVERSITY ASSESSMENT 73.43 73.43 73.43 73.43 73.43
CO Attainment % 72.22 72.89 61.88 85.02 79.51
Attainment Level 3 3 2 3 3
Overall CO Attainment % 75
Overall CO Attainment Level 3
Expected Attainment 65.22

 

Sample Attainment

TARGET SETTING

The target to be achieved for each course includes two parameters:

1. Expected Proficiency /Knowledge (EP) – It is the grade secured by more than 50% of the total number of students in the previous university examinations.

2. Expected Attainment (EA) – The percentage of students who attain the expected proficiency.

Grades >=90% 85 – 89 80-85 70-80 60-70 50-60 45-50 <45% No. of Students
O A+ A B+ B C P F
2019 3 5 25 29 35 6 15 118
2020 3 8 12 36 25 19 5 3 111
2021 32 10 13 29 14 6 0 11 115
No. of Students 35 21 30 90 68 60 11 29
average 11.67 7.00 10.00 30.00 22.67 20.00 3.67 9.67
average % 10.17 6.10 8.72 26.16 19.77 17.44 3.20 8.43
Cumulative % Average 10.17 16.28 25.00 51.16 70.93 88.37 91.57 100.00

Expected Proficiency is  selected B and Expected Attainment is calculated assuming 30% overall improvement with 5% in each year from the base year and base attainment is obtained as 70.93%

Expected Proficiency 60(B)
Expected Attainment 70.93

COURSE ATTAINMENT CALCULATION

ASSESSMENT PATTERN and MARK DISTRIBUTION

CO Assessment Criteria Total CO

Marks

 Expected

Proficiency

 Expected Attainment
Assignment

[50.00]

 Assignment

[50.00]

 Series

Test- 1

[50.00]

 Series

Test- 2

[50.00]
CET306.1 25 5 30 18 74.48
CET306.2 20 20 40 24
CET306.3 50 25 25 50 30
CET306.4 50 30
CET306.5 30 30 18

 

ATTAINMENT LEVELS TARGET
1 50.00% Students scoring more than 70.00% marks out of the relevant maximum marks
2 60.00% Students scoring more than 70.00% marks out of the relevant maximum marks
3 70.00% Students scoring more than 70.00% marks out of the relevant maximum marks

 

ASSESSMENT METHOD WEIGHTAGE
DIRECT/INTERNAL 40.00
EXTERNAL/UNIVERSITY 50.00
INDIRECT 10.00

 

Course Outcome Assessments Course Outcomes
CET306.1 CET306.2 CET306.3 CET306.4 CET306.5
DIRECT ASSESSMENT

29.36

66.97

53.21

95.41

88.07
INDIRECT ASSESSMENT

85.32

83.49

82.57

84.40

83.49
UNIVERSITY ASSESSMENT

84.40

84.40

84.40

84.40

84.40
CO Attainment %

62.48

77.34

71.74

88.8

85.78
Attainment Level

2

3

3

3

3
Overall CO Attainment %

78
Overall CO Attainment Level

3
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