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Cluster Innovation Centre

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B.Tech (IT & Mathematical Innovation)

Concept

Cluster Innovation Centre, University of Delhi offers a four-year B.Tech. Programme in Information Technology & Mathematical Innovations. This unique course, the first one to be offered at Cluster Innovation Centre, is designed to inculcate an innovation mindset as part of the curriculum and pedagogy. Building strong analytical skills through Mathematics and application skills of Information Technology (IT), this course encourages students to recognize the connectedness of various disciplines. Using IT as a vehicle for connecting mathematics with other disciplines, students are encouraged to develop innovative products and processes as part of the curriculum. The course aims to produce adequately skilled graduates with a creative mindset who can provide new solutions to industry in particular and to society in general. It is hoped that some of these innovators will be entrepreneurs, who will be job providers rather than job seekers. The course is specifically designed to boost undergraduate research.

  1. The course offers three specialization streams – Management, Electronics & Embedded System and Systems Biology – important fields of education with significant interface with Mathematics and IT currently.
  2. The mode of learning shall be a healthy and productive blend of the formal and the inquiry-based, with a special focus on the “hands-on” and “project-based” modes of learning. Learning shall happen to a large extent through teacher mentoring and peer learning that encourages creativity and relies on innovations.
  3. Upon graduation, these students would have acquired innovation-based creativity and would have matured in their thinking. They will have enhanced their communication and leadership abilities and will have understood the deep and abiding connections between knowledge and its uses - between understanding the needs of society and the relevance of knowledge and the importance of societal obligations. Experiments, hands-on projects, innovative projects, model implementations linked to the curriculum will be carried out in the “Engineering Kitchen: Innovation Lab”. Assessment, at each stage, is designed in a manner to incentivize innovation by encouraging students to carry out the new creative application of the theoretical knowledge acquired, either through a project or through a laboratory activity/prototype in the engineering kitchen.

 

Program Objectives

  • To build strong analytical skills through Mathematics and application skills of Information Technology (IT).
  • To develop innovative products and processes as part of the curriculum.
  • To produce adequately skilled graduates with a creative mindset who can provide new solutions to industry in particular and to society in general.
  • To prepare future entrepreneurs who have the ability to convert ideas into commercially and socially viable products.

Highlights of the Program:

  • The course offers three specialization streams – Management, Electronics & Embedded System and Systems Biology.
  • The mode of learning is a productive blend of the formal and inquiry-based, with a special focus on “hands-on” and “project-based” mode of learning.
  • Strong Mentor-Mentee relation and peer learning that encourages creativity and relies on innovations.
  • Experiments, hands-on projects, innovative projects, model implementations linked to the curriculum in the “Engineering Kitchen: Innovation Lab”.
  • Designed to boost undergraduate research.
  • Assessment, at each stage, is designed in a manner to incentivize innovation by encouraging students to carry out the new creative applications of the
    theoretical knowledge acquired, either through a project or through a laboratory activity/prototype in the engineering kitchen.

 

Program Outcomes

Graduates of the course :

  • acquire strong analytical skills through Mathematics and application skills of Information Technology (IT).
  • develop innovative products and processes as part of curriculum.
  • metaphor into entrepreneurs, who will be job providers rather than job seekers.
  • develop an interest in research.
  • are able to bridge the gap between theory and application.

 

Core Courses

  • Information Technology
    • Data Structure and Algorithm Design
    • Logic and Programming: Algorithms
    • Computing Systems Architecture
    • Data Communication & Networking
    • Artificial Intelligence/Machine Learning
    • Computer Graphics
  • Mathematics
    • Calculus
    • Linear Algebra
    • Discrete Mathematics
    • Probability and Statistics
    • Numerical Method

Minor Stream Courses

  • Electronics & Embedded Systes
    • Electronics & Circuit Simulation
    • Circuit elements and Instruments
    • Digital Electronics and Logic Design
    • Control Systems
    • Embedded Systems Studio
  • Management
    • Business processes and strategic IT alignment
    • Macro and Micro Economics
    • Sales & Marketing Management
    • Human Resource Management
    • Organizational Behaviour
    • Production and Operations
    • Management Systems
  • Systems Biology
    • Integrative Biology
    • Cell: Biochemical and Molecular perspective
    • Genes to Genomes
    • Flow of information in living systems
    • In silico Biology

Eligibility

A student, currently appearing or passed with minimum aggregate marks at 10+2 level as mentioned below (category wise):

  1. General Category: 60% in any four subjects (including mathematics).
  2. OBC Category: 54% in any four subjects (including mathematics).
  3. PwD / CW Category : 57% in any four subjects (including mathematics).
  4. SC/ST Category: Passing marks with Mathematics as one subject.

 

Course Structure and Syllabus(Latest Course)

B.Tech(IT&MI) Syllabus(Latest Course)

 

Evaluation Scheme

There will be a continuous assessment based on class tests, presentations, seminars, assignments, projects etc. There will be an Evaluation and Review Committee (ERC) for each Semester. The Programme Coordinator will be the Chairman of the ERC and all CONVENERS (teachers teaching major portions of a paper) concerned for the semester will be its members.

Functions Of The ERC

  1. To finalize examination schedule, its notification, preparation of invigilation chart and conduct of end semester examinations.
  2. To ensure timely preparation of question papers and Evaluation of answer books for the end semester examination. ERC may assign full or a part of the work to any other faculty member of CIC.
  3. To periodically assess the continuous evaluation of the papers and project/internship.
  4. To determine and notify the eligibility of appearing in the end semester examination based on the attendance percentage prior to the commencement of the end semester examination.
  5. To ensure timely notification of internal assessment marks. To consider such individual representations of students about internal evaluation which have not been possible to reconcile between the student and the concerned teacher and take the remedial action if needed. The case will be scrutinized by the ERC and the decision of the ERC shall be final.
  6. Students will be shown the evaluated end semester answer books within ten days of the completion of the end semester evaluation. Any discrepancy may be brought to the notice of ERC. The case will be examined by ERC with one outside expert to be appointed by the Program Coordinator, and the decision of the ERC shall be final.
  7. To review and moderate end semester results of each class with a view to maintaining uniformity of standard.
  8. To prepare the consolidated results semester wise and send them to the University Examination Branch for declaration of results and ensure reconciliation with university database for future reference and issue of mark sheets/transcripts.

Evaluation

  1. The evaluation or assessment for each theory paper with 4 credits shall be based on regular internal assessment throughout the semester (25 marks), a semester-long innovation project in the field (25 marks, evaluated as part of the end semester examination) and a final end-semester written examination (50 marks).
  2. The evaluation or assessment for each theory paper with 3 credits shall be based on regular internal assessment throughout the semester (20 marks), and a final end-semester written examination (55 marks).
  3. The evaluation or assessment for each theory paper with 2 credits shall be based on regular internal assessment throughout the semester (15 marks), and a final end-semester written examination (35 marks).
  4. The evaluation or assessment for a laboratory paper with 3 credits shall be based on regular internal assessment throughout the semester (45 marks for laboratory activities and 30 marks for the innovation project).
  5. The evaluation or assessment for a laboratory paper with 4 credits shall be based on regular internal assessment throughout the semester (60 marks for laboratory activities and 40 marks for the innovation project).

For the project work or internship carried out either during the semester or during the summer break (Semester III – Semester VIII), broad guidelines for the evaluation shall be as follows:

Evaluation of projects/Internships with 6 credits.

  1. A candidate/group of candidates will be mentored by a teacher OR a responsible person in industry/organisation as assigned by the Programme Coordinator. On completion of the project, the students will submit a brief written report to the ERC. The report will be examined by a board of examiners (one board for 10 students), consisting of three members appointed by the Director, CIC, on ERC's recommendation.
  2. The evaluation will be on the work carried out by the student, written report and viva/ presentation. 60% weightage (90 marks) will be given to the continuous performance (by the mentor) and 40% weightage (60 marks) for the final assessment (by the board of examiners) after the completion of the project.

Evaluation of 32 Credits Industrial Internship/Major Project (Semester VIII)

  1. A dissertation should be submitted at the end of VIII semester. However, ERC may grant the extension, not exceeding the maximum duration of the semester but not more than six months at a time. The dissertation will be examined by a board of three members appointed by the Director, CIC, on the ERC recommendation. A viva-voce examination will be conducted by the board and marks awarded taking into consideration both dissertation and viva.

 

Latest News/Notices

25 Nov 2021

Link for Spot Admission Round 2 - B.Tech. (IT&MI) - EWS category only

21 Nov 2021
Spot Admission List B.A. (Hons) Humanities and Social Sciences
21 Nov 2021
Spot Admission List B.Tech(IT&MI)
21 Nov 2021
Time Table for B.Tech(IT&MI)
20 Nov 2021
Time Table for B.A. (Hons) Humanities and Social Sciences 
19 Nov 2021
Seat Availability and Link to Apply for Spot Admission BTech and BA 2021
18 Nov 2021
Academic Calendar
18 Nov 2021
DU Student Portal for Course Selection and Examination Form Submission Manual
18 Nov 2021
Data of Cyberbullying of Females studying in higher Education
18 Nov 2021
Ward Quota First Admission List – B.Tech. (IT & Mathematical Innovations)
18 Nov 2021
Date Sheet of CIC Examination Nov-Dec 2021 
18 Nov 2021
First admission list of M.Sc(Mathematics Education)
16 Nov 2021
Third Admission List B.A. (Hons) Humanities and Social Sciences 
16 Nov 2021
Third Admission List B.Tech (IT&MI)
14 Nov 2021
Merit List of M.Sc(Mathematics Education)
08 Nov 2021
08 Nov 2021 Notice of fee waiver of students
07 Nov 2021 Second Admission List of B.Tech(IT&MI) Admission 2021
07 Nov 2021 Second Admission List of B.A.(Hons) Humanities and Social Sciences Admission 2021
01 Nov 2021 Corrigendum: Walk-in-Interview Advertisement No CIC/Guest21
31 Oct 2021 First Admission List of B.Tech(IT&MI) Admission 2021
31 Oct 2021 First Admission List of B.A (Hons) Humanities and Social Sciences Admission 2021
30 Oct 2021 FAQs for B.Tech(IT&MI) Admission 2021
29 Oct 2021 Merit List of B.A. Honours (Humanities & Social Sciences) Admission 2021
29 Oct 2021
4 Aug 2021 Revised Syllabus - B. Tech (IT & MI)
29 Jul 2021 Time Table for B. Tech. (Information Technology & Mathematical Innovations) Semester V and VII
26 Jul 2021 M.Sc.(Mathematics Education) Admission 2021-22
26 Jul 2021 Time Table for B. A. Honours (Humanities & Social Sciences) Semester II and V

 

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