Admission

Add-On Course offered by the Department

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

SI.No Module Content Hours Required
1. Module-I Elementary Signals, Classification and representation of continuous time and discrete time signals, Signal operations. Continuous time and discrete time systems – Classification, Properties. Representation of systems: Differential equation representation of continuous time systems. Difference equation representation of discrete systems. Continuous time LTI systems and convolution integral. Discrete time LTI systems and linear convolution. Stability and causality of LTI systems. Correlation between signals, Orthogonality of signals. 16
2. Module-II Frequency domain representation of continuous time signals – continuous time Fourier series and its properties.  Continuous time Fourier transform and its properties. Convergence and Gibbs phenomenon

Review of Laplace Transform, ROC of Transfer function, Properties of ROC, Stability and causality conditions.  Relation between Fourier and Laplace transforms.

 11
3. Module-III Analysis of LTI systems using Laplace and Fourier transforms. Concept of transfer function, Frequency response, Magnitude and phase response.

Sampling of continuous time signals, Sampling theorem for lowpass signals, aliasing.

 7
4. Module-IV Frequency domain representation of discrete time signals, Discrete time fourier series for discrete periodic signals. Properties of DTFS. Discrete time fourier transform (DTFT) and its properties.

Analysis of discrete time LTI systems using DTFT. Magnitude and phase response.

 9
5. Module-V Z transform, ROC, Inverse transform, properties, Unilateral Z transform.

Relation between DTFT and Z-Transform, Analysis of discrete time LTI systems using Z transforms. Transfer function. Stability and causality using Z transform.

 7

Sample PO-PSO Mapping to CO

CO Name KL PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
ECT204.1 3 3 3 0 0 0 0 0 0 0 0 0 0 3 0
ECT204.2 3 3 3 3 0 0 0 0 0 0 0 0 0 3 0
ECT204.3 3 3 3 3 0 0 0 0 0 0 0 0 0 3 0
ECT204.4 3 3 3 0 0 0 0 0 0 0 0 0 0 3 0
ECT204.5 3 3 3 0 0 0 0 0 0 0 0 0 0 3 0
ECT204.6 3 3 3 0 0 0 0 0 0 0 0 0 0 3 0
Overall Mapping 3 3 3 0 0 0 0 0 0 0 0 0 3 0

Sample CO Attainment

Program : Electronics and Instrumentation Engineering(KTU)
 Academic Year 2020-2021
Course      :  SIGNALS AND SYSTEMS Course ECT204
Expected Proficiency 50.00

 

Assessment Method

Weightage
DIRECT ASSESSMENT 40.00
INDIRECT ASSESSMENT 10.00
UNIVERSITY ASSESSMENT 50.00

 

Attainment Levels

Percentage
1 50.00-60.00%
2 60.00-70.00%
3 70.00-100.00%

 

Course Outcome Assessments

Course Outcomes
ECT204.1 ECT204.2 ECT204.3 ECT204.4 ECT204.5 ECT204.6
DIRECT ASSESSMENT 93.55 70.97 54.84 100.00 45.16 100.00
INDIRECT ASSESSMENT 90.32 80.65 87.10 74.19 80.65 64.52
UNIVERSITY ASSESSMENT 77.42 77.42 77.42 77.42 77.42 77.42
CO Attainment% 85.16 75.16 69.36 86.13 64.84 85.16
Attainment Level 3 3 2 3 2 3
Overall CO Attainment% 78
Overall CO Attainment Level 3
Expected Attainment 62.70

 

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

Class Advisors

SI.No Admission Year Name of the Group Advisors for the current academic year Designation
1.

 

 2022 Mrs. Raji P Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
Mrs. Sheffy Thomas Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
2. 2021 Mrs. Honey Devassy(Chief) Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
Mrs. Ambily John Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
Mrs. Gisha P S Asst. Professor (Spl. Grade), Department of Science and Humanities, Federal Institute of Science and Technology.
3. 2020 Dr. Anish Mathew Asst. Professor (Sr. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
Mrs. Anila Mathew Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
4. 2019 Mrs. Sruthi Bhaskaran Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.
Ms. Lakshmi Nandakumar Asst. Professor (Spl. Grade), Department of Electronics and Instrumentation, Federal Institute of Science and Technology.

Design Project and Mini Project

The department of Civil Engineering gives a major thrust in the project work of the students. Each project team is mentored by a faculty member, who works closely with the students to ensure the quality of the work. This page features the list of design projects undertaken by the third year B.Tech and list of minin projects undertaken by M.Tech students as part of their curriculum.

Innovative Teaching Learning Methods

The following innovative teaching learning methods are adopted in the Department.

  1. Online Quiz
  2. Flipped Classroom
  3. Online Classes
  4. Pre-recorded Video Lectures
  5. Animation Videos
  6. Power Point Presentations
  7. Mindmap
  8. Group discussions
  9. Debates
Next Page » « Previous Page
Video

Federal Institute of Science And Technology
Approved by AICTE, New Delhi & Affiliated to KTU, Thiruvananthapuram
Accredited by NAAC with 'A+' Grade & NBA
[B.Tech - CSE, ECE, EEE, EIE, ME & CE]

Information
Quick Links
Contact Address
Federal Institute of Science And Technology (FISAT)®
Hormis Nagar, Mookkannoor P O,
Angamaly, Ernakulam Dt.
Kerala, India, Pin - 683 577
Ph: 0484 - 2725272
Email : mail@fisat.ac.in
Developed by Corbel Business Applications