CHRIST (Deemed to University), Bangalore

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

School of Engineering and Technology





Syllabus for
BTech (Information Technology)
Academic Year  (2023)

 
        

  
Assesment Pattern

 

 

Category 

Weightage for CIA

Weightage for ESE

1

Courses with theory and practical

70

30

2

Courses with only theory 

50

50

3

Courses with only Practical

50

50

 

COURSES WITH THEORY AND PRACTICAL
 

Component

Assessed for

Minimum marks

 to pass 

Maximum 

marks 

1

Theory CIA

30

-

30

2

Theory ESE

30

12

30

3

Practical CIA

35

14

35

4

Attendance

05

-

05

4

Aggregate 

100

40

100
 

DETAIL OF MARK FOR COURSES WITH THOERY AND PRACTICAL

THEORY 

PRACTICAL 
 

Component

Assessed for

Scaled down to

Minimum marks to pass 

Maximum marks 

Component

Assessed for

Scaled down to

Minimum marks to pass 

Maximum marks 

1

CIA-1 

20 

10

-

10

Overall CIA

50

35

14

35

2

CIA-2

50 

10

-

10


3

CIA-3

20 

10

-

10


4

Attendance

05

05

-

05

Attendance

NA

NA

-

-

5

ESE

100 

30

12

30

ESE

NA

NA

-

-
   

TOTAL 

65

-

65

TOTAL

  

35

14

35

 

  • Minimum marks required to pass in practical component is 40%. 

  • Pass in practical component is eligibility criteria to attend Theory End semester examination for the same course.

  • A minimum of 40 % required to pass in ESE -Theory component of a course.

  • Overall 40 % aggregate marks in Theory & practical component, is required to pass a course.

  • There is no minimum pass marks for the Theory - CIA component.

  • Less than 40% in practical component is refereed as FAIL.

  • Less than 40% in Theory ESE is declared as fail in the theory component.

  • Students who failed in theory ESE have to attend only theory ESE to pass in the course

 

II. ASSESSMENT - ONLY FOR THEORY COURSE (without practical component)

  • Continuous Internal Assessment (CIA) : 50% (50 marks out of 100 marks)

  • End Semester Examination(ESE)   : 50% (50 marks out of 100 marks)

 

Components of the CIA 

CIA I:  Subject Assignments / Online Tests: 10 marks 

CIA II:   Mid Semester Examination (Theory): 25 marks

CIAIII: Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications: 10 marks

Attendance: 05 marks

Total: 50 marks

 

Mid Semester Examination (MSE) : Theory Papers: 

  • The MSE is conducted for 50 marks of 2 hours duration. 

  • Question paper pattern; Five out of Six questions have to be answered. Each  question carries 10 marks

End Semester Examination (ESE): 

The ESE is conducted for 100 marks of 3 hours duration. 

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution. 

Question paper pattern is as follows. 

Two full questions with either or choices will be outlined from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a particular question. The objective of the question paper is to test the application and analytical skill of the student. The major purpose of the question paper is to bring clarity about the process of associating questions to their respective performance indicators and hence to improve the ratings in course outcomes. Further, these question papers demonstrate how bloom’s taxonomy can be used to map the quality of question papers along with their effectiveness in the assessment pattern.

 

III. ASSESSMENT OF COMPREHENSION, INTERNSHIP and SERVICE LEARNING

COMPREHENSION

Maximum Marks = 50

Passing marks 40% min

Do not have ESE and completely evaluated through continuous assessment only, 

 

The evaluation (minimum 2 presentations) shall be based on the 

  • Topic / report :40% 

  • Presentation: 40% 

  • Response to the questions asked during presentation : 20%.

INTERNSHIP

 

Maximum Marks = 50(Only credit will be displayed in the score card)

Passing marks 40% min

Do not have ESE and completely evaluated through continuous assessment only

Continuous Internal Assessment is based upon

  • No of Internship Days: 20 marks

  • Report on Internship: 15 marks

  • Presentation on Internship: 15 marks

 

SERVICE LEARNING

Maximum Marks = 50

Passing marks 40% min

Do not have ESE and completely evaluated through continuous assessment only, 

Comprising

  • Internal Assessment with components like tests/quiz/written assignments: 25 marks 

  • Field Work or equivalent assignment as approved by the department panel: 25 marks  

 

V. ASSESSMENT OF PROJECT WORK

       Project Phase-I  

Project work may be assigned to a single student (with due approval from department) or to a group of students not exceeding 4 per group.

Maximum Marks = 100

  • Continuous Assessment :50 marks.

  • End Semester Examination (project report evaluation and viva-voce) : 50 marks.

  • The continuous assessment and End Semester Examinations marks for Project Work and the Viva-Voce Examination will be distributed as indicated below.

 


CIA 50 MARKS

ESE 50 MARKS

REVIEW 1

REVIEW 2

REVIEW 3

  

REVIEW COMMITTEE

GUIDE

REVIEW COMMITTEE

GUIDE

REVIEW COMMITTEE

GUIDE

EXAMINERES

10

05

10

05

10

10

50

TOTAL

15

TOTAL

15

TOTAL

20

 

  • There shall be 3 reviews and the student shall make presentation on the progress made before the committee constituted by the Department

  • The total marks obtained in the 3 reviews shall be 100 marks.

ESE 100 MARKS IS EVALUATED AS

  • Initial Write Up    : 10marks

  • Viva Voce: 25 marks

  • Demonstration: 40 marks

  • Project Report: 25 marks

 

Holistic Education:

   End Semester Examination          :25 Marks

   Participation:25 Marks

 

   Total :50 Marks

 

Examination And Assesments

Continuous internal Assesment-CIA-I,CIA-II,CIA-III

End Semester Examination

Department Overview:

BRIEF HISTORY OF DEPARTMENT Department of Computer Science and Engineering started of journey to produce qualified Engineers to society with variety of skills. The department offers the degrees Bachelor of Technology, Master of Technology, and Doctor of Philosophy in the areas of Computer Science and Engineering and Information Technology. The department has rich knowledge pool of faculty resource who are well trained in various fields like Artificial Intelligence, Machine learning, Computer Vision, Algorithms design, Cryptography, Computer Networking, Data mining, Data science, BIG DATA, Digital Image Processing, text mining, knowledge representation, soft computing, Cloud computing, etc.. The department has wide variety of labs setup namely open source lab, Machine learning lab, CISCO Networking Lab etc.. Specifically for students for their lab curriculum and for their research. The department periodically conducts hands-on workshop on recent technology like Internet of Things, Cloud computing, Machine learning etc..for the students so that they should be updated with current technology. The department imparts teaching in Holistic method, where students who are trained under holistic education will be better citizens of Nation .The main educational goal is to prepare students for research and career in industry or in universities.

Mission Statement:

DEPARTMENT VISION

To Fortify Ethical Computational Excellence

MISSION STATEMENT

1. Imparts core and contemporary knowledge in the areas of Computation and Information Technology

2. Promotes the culture of research and facilitates higher studies

3. Acquaints the students with the latest industrial practices, team building and entrepreneurship

4. Sensitizes the students to serve for environmental, social & ethical needs of society through lifelong learning

Introduction to Program:

The Undergraduate program in Information Technology is aimed at creating computer science engineers by providing the fundamentals of engineering and basic skills in computing. The special focus on employability is clear from the inclusion of subjects based on demand of industry and mandatory internships. A well-chosen elective basket gives the ward an opportunity to widen their knowledge in any specific domain.

Program Objective:

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.

PO2: Think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.

PO3: Analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.

PO4: Conduct experiments to investigate problems based on changing requirements, analyze and interpret results.

PO5: Create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.

PO6: Understand the impact of contextual knowledge on social aspects and cultural issues.

PO7: Understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.

PO8: Understand professional & ethical responsibility to contribute for societal and national needs.

PO9: Function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams

PO10: Communicate effectively.

PO11: Demonstrate an understanding of computer science and engineering & management principles to manage software projects.

PO12: Demonstrate a recognition and realization of the need for, and an ability to engage in lifelong learning.

Programme Specific Outcome:

PSO1: Project Management and Development: Develop and Manage Software Applications through suitable validation methodology.

PSO2: Design feasible software solutions through data science.

PSO3: Analyze Social Relevant Problems and Design Software /IT based solutions through Service Learning.