curriculum and syllab icse)-aiandml_2019... · cse6035 advances in cryptography and network...

School of Computer Science and Engineering

M.Tech (CSE) - Specialization in AI & ML

CURRICULUM AND SYLLABI (2019-2020)

VISION STATEMENT OF VELLORE INSTITUTE OF TECHNOLOGY

Transforming life through excellence in education and research.

MISSION STATEMENT OF VELLORE INSTITUTE OF TECHNOLOGY

World class Education: Excellence in education, grounded in ethics and

critical thinking, for improvement of life. Cutting edge Research: An innovation ecosystem to extend knowledge and

solve critical problems. Impactful People: Happy, accountable, caring and effective workforce and

students. Rewarding Co-creations: Active collaboration with national & international

industries & universities for productivity and economic development. Service to Society: Service to the region and world through knowledge and

compassion.

VISION STATEMENT OF THE SCHOOL OF COMPUTER SCIENCE AND ENGINEERING

To promote Knowledge centric education and accomplish innovative, state-of-the- art research in Computer Science and Engineering for the betterment of society.

MISSION STATEMENT OF THE SCHOOL OF COMPUTER SCIENCE AND ENGINEERING

• Continuously endeavor to deliver knowledge centric education to students with the goal that they excel in novel computing technologies and acquire entrepreneurial skills with lifelong learning ethically and morally.

• To develop innovation and problem driven research that creates advanced Information and Communication Technologies (ICT) for transforming industry and society.

• Expedite the development of academia-industry collaborations and societal outreach programs.

School of Computer Science and Engineering

2. Graduates will function as successful practising engineer / researcher / teacher / entrepreneur

in the chosen domain of study.

3. Graduates will have holistic approach addressing technological, societal, economic and

sustainability dimensions of problems and contribute to economic growth of the country.

1. Graduates will be engineering professionals who will engage in technology development and

deployment with social awareness and responsibility.


PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

M. Tech Computer Science and Engineering Specialization in AI and ML

PROGRAMME OUTCOMES (POs) PO_01: Having an ability to apply mathematics and science in engineering applications.

PO_03: Having an ability to design a component or a product applying all the relevant standards and with realistic constraints, including public health, safety, culture, society and environment

PO_04: Having an ability to design and conduct experiments, as well as to analyze and interpret data, and synthesis of information

PO_05: Having an ability to use techniques, skills, resources and modern engineering and IT tools necessary for engineering practice

PO_06: Having problem solving ability- to assess social issues (societal, health, safety, legal and cultural) and engineering problems

PO_07: Having adaptive thinking and adaptability in relation to environmental context and sustainable development

PO_08: Having a clear understanding of professional and ethical responsibility

PO_11: Having a good cognitive load management skills related to project management and finance


ADDITIONAL PROGRAMME OUTCOMES (APOs) APO_02: Having Sense-Making Skills of creating unique insights in what is being seen or observed (Higher level thinking skills which cannot be codified)

APO_03: Having design thinking capability

APO_04: Having computational thinking (Ability to translate vast data in to abstract concepts and to understand database reasoning

APO_07: Having critical thinking and innovative skills

APO_08: Having a good digital footprint

School of Computer Science and Engineering Year of Commencement: 2013

1. The ability to formulate mathematical models and problem-solving skills through

programming techniques for addressing real-life problems using appropriate knowledge

representation, problem-solving, and learning methods.

2. Become familiar with the insights of Artificial Intelligence and Machine Learning

towards problem solving, inference, perception, knowledge representation, and

learning.


PROGRAMME SPECIFIC OUTCOMES (PSOs)

3. Ability to bring out the capabilities for research and development in contemporary

issues and to exhibit the outcomes as technical report.


CREDIT STRUCTURE

Category-wise Credit distribution

Category Credits

University Core (UC) 27

Programme Core (PC) 22

Programme Elective (PE) 15

University Elective (UE) 06

Bridge Course (BC) -

Total Credits 70

M.Tech(CSE-Specialisation in AI & ML) Curriculum 1

SCHOOL OF COMPUTER SCIENCE AND ENGINEERING M.Tech. (Computer Science and Engineering-Specialisation in AI & ML)

Curriculum (AY: 2019 -20)

Sl. NO Category Total No. of Credits 1 University Core 27 2 University Elective 6 3 Programme Core 22 4 Programme Elective 15 Total 70

University Core [27 Credits]

Course Code Course Title L T P J C Pre-Req Category

CSE6099 Masters Thesis 0 0 0 0 16 - E MAT5014 Mathematics for Artificial

Intelligence 3 0 0 0 3 - S

SET5001 Science, Engineering and Technology Project - I 0 0 0 0 2 - E

SET5002 Science, Engineering and Technology Project - II 0 0 0 0 2 - E

EFL5097 English / Foreign Language 0 0 0 0 2 - H STS5777 Soft Skills 0 0 0 0 2 - H

Total 27 Credits


PROGRAMME CORE (Credits to be earned: 22)

Course Code Course Title L T P J C Pre-Req

CSE5010 Data Structures and Algorithms Analysis 3 0 2 0 4

-

CSE5002 Operating Systems and Virtualization 2 0 2 0 3 -

CSE5011 Database Systems and Design 2 0 2 0 3 -

MAT6006 Mathematics for Machine Learning 3 0 0 0 3 -

CSE5012 Artificial Intelligence: Principles and Techniques 2 0 2 0 3

-

CSE6024 Machine Learning Techniques 2 0 2 0 3 -

CSE6034 Big-data Analytics 2 0 2 0 3 -

Total 22 Credits


PROGRAMME ELECTIVE (Credits to be earned: 15)

Course Code Course Title L T P J C Pre-Req CSE6035 Advances in Cryptography and Network

Security 2 0 2 0 3 -

CSE6072 Web Technologies 2 0 2 0 3 -

CSE5021 Data Warehousing and Mining 2 0 2 0 3 -

CSE5004 Computer Networks 2

0

2

0 3

-

CSE6008 Distributed Systems 2 0 0 0 3 - CSE6071 Cloud Computing 2 0 0 4 3 - CSE6063 Cognitive Science 3 0 0 0 3 - CSE5009 Soft Computing 3 0 0 0 3 - CSE6059 Digital Imaging Techniques and Analysis 3 0 0 0 3 -

CSE6057 Knowledge Engineering and Expert Systems 3 0 0 0 3

-

CSE6060 Statistical Natural Language Processing 3 0 0 0 3 -

CSE6037 Deep Learning and its Applications 2 0 2 0 3 - CSE6065 Stochastic Models and Applications 3 0 0 0 3 - CSE6066 Intelligent Information Retrieval 3 0 0 0 3 - CSE6038 Bio-Inspired Computing 3 0 0 0 3 - CSE6067 Pattern Recognition 3 0 0 0 3 - CSE6068 Reinforcement Learning 3 0 0 0 3 - CSE6069 Machine Learning for Signal Processing 3 0 0 0 3 - CSE6070 Machine Learning with Large Data sets 3 0 0 0 3 -

curriculum and syllab icse)-aiandml_2019... · cse6035 advances in cryptography and network...

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