SIICS Course
Course Objectives
The Bachelor of Science in Artificial Intelligence and Machine
Learning (B.Sc (AI & ML)) and B.Sc (AI & ML) Honors and
Research; program is designed to provide advanced
education and training in the field of AI and ML. Driven by the
combination of increased access to data, computational
power, and improved algorithms, Artificial Intelligence (AI)
technologies are entering the mainstream of technological
innovation. These technologies include search, machine
learning, natural language processing, robotics and
computer vision
Career Growth Pathway
Bachelor of Science in Computer Science
Job Opportunities
Use B.Sc. CS – Bachelor of Science in Computer Science
Download Broucher
Course
Eligibility
Passed Standard XII (10+2) or equivalent examination with
Physics and Mathematics
Passed Standard XII (10+2) or equivalent examination with
Physics and Mathematics as compulsory subjects along
with one of the Chemistry/ Biotechnology/ Biology/
Technical Vocational subject/ Computer Science/
Information Technology/ Informatics Practices/
Agriculture/ Engineering Graphics/ Business Studies from
any recognized Board with a minimum of 50% marks or
equivalent grade (45% marks or equivalent grade for
Scheduled Caste/ Scheduled Tribes).
Syllabus
First Year SIICS Course Syllabus
| Course Code | Course Name | |
|---|---|---|
| AIML-101-T | Object Oriented concepts and Programming using C++ | |
| AIML-102-P | Practical based on AIML-101-T | |
| MTS-101-T | Discrete Structures for Computer Science |
|
| MTS-102-P | Practical based on MTS-101-T | |
| STS-101-T | Notion of Statistical Data Analysis | |
| STS-102-P | Practical based on STS-101-T | |
| OE-101-AIML-T | From University Basket* | |
| SEC-101-AIMLT | Basic Probability theory and Discrete Distributions |
|
| AIML-101-IKS | Generic IKS | |
| AEC-101-ENG | English | |
| VEC-101-ENV | EVS-I | |
| Course Code | Course Name | |
|---|---|---|
| AIML-151-T | Introduction to Python Programming |
|
| AIML-152-P | Practical based on AIML-151-T | |
| MTS-151-T | Graph Theory | |
| MTS-152-P | Practical based on MTS-151-T | |
| STS-151-T | Continuous Probability Distributions and Testing of Hypothesis |
|
| STS-152-P | Practical based on STS-151-T | |
| OE-151-AIML-T | From University Basket* | |
| SEC-151-AIML-T | Databases – I | |
| AEC-151-ENG | English | |
| VEC-151-ENV | EVS-II | |
| CC-151-PE/ NSS /NCC |
From University Basket | |
| Course Code | Course Name | |
|---|---|---|
| AIML-201-MJ-T | Data Structures (using Python) | |
| AIML-202-MJ-T | Software Engineering | |
| AIML-203MJ-P | Lab course on AIML201MJ + AIML202MJ |
|
| AIML-221-VSC-P | Advanced Python Programming | |
| AIML-201-IKS | Computing in Ancient India | |
| AIML-231-FP | Mini Project | |
| AIML-241-MN-T | Linear Algebra | |
| AIML-242-MN-P | Practical on AIML241MN | |
| OE-201-AIML-T | From University Basket* | |
| AEC-201-ENG | From University Basket | |
| CC-201-PE/NSS /NCC |
From University Basket | |
| Course Code | Course Name | |
|---|---|---|
| AIML-251-MJ-T | Microservices using Python | |
| AIML-252-MJ-T | Artificial Intelligence – I | |
| AIML-253-MJ-P | Practical based on AIML251MJ + AIML252M |
|
| AIML-221-VSC-P | Databases – II | |
| AIML-241-FP | Mini Project | |
| AIML-241-MN-T | Logic | |
| AIML-242-MN-P | Practical based on AIML241MN | |
| OE-251-AIML-T | From University Basket* 2 | |
| SEC-251-AIML-P | DAA – I (Brute Force, D&C, Greedy, Dynamic Programming) |
|
| AEC-251-SUB | From University Basket | |
| CC251PE/NSS /NCC |
From University Basket | |
| Course Code | Course Name | |
|---|---|---|
| AIML-301-MJ-T | Artificial Intelligence – II | |
| AIML-302-MJ-T | Machine Learning Techniques – I (Supervised) |
|
| AIML-303-MJ-T | Data Preparation and Visualization | |
| AIML-304-MJ-T | DAA – II (Backtracking, B&B, Randomized, P&NP and approximation algos) |
|
| AIML-305-MJ-P | Practical based on AIML301MJ | |
| AIML-306-MJ-P | Practical based on AIML302MJ & AIML303MJ |
|
| AIML-310-MJ-T | Big Data Analytics | |
| AIML-311-MJ-P | Practical based on AIML306MJ | |
| OR | ||
| AIML-312-MJ-T | MEAN – I | |
| AIML-313-MJ-P | Practical based on AIML308MJ | |
| OR | ||
| AIML-314-MJ | Mobile app development | |
| AIML-315-MJ-P | Practical based on AIML310MJ | |
| AIML-321-VSC-P | Linux Shell Scripting | |
| AIML-331-FP | Project | |
| AIML-341-MN-T | Calculus for ML | |
| Course Code | Course Name | |
|---|---|---|
| AIML-351-MJ-T | Optimization Techniques | |
| AIML-352-MJ-T | Machine Learning Techniques – II | |
| AIML-353-MJ-T | Data Mining Techniques | |
| AIML-354-MJ-T | Evolutionary Algorithms (FL, GA) | |
| AIML-355-MJ-P | Practical based on AIML351MJ | |
| AIML-356-MJ-P | Practical based on AIML352MJ & AIML353MJ |
|
| AIML-360-MJ-T | Business Intelligence (Atoti) | |
| AIML-361-MJ-P | Practical based on AIML357MJ | |
| OR | ||
| AIML-362-MJ-T | MEAN II | |
| AIML-363-MJ-P | Practical based on AIML359MJ | |
| OR | ||
| AIML-364-MJ-T | Game Theory | |
| AIML-365-MJ-P P | Practical based on AIML361MJ | |
| AIML-371-VSC-P | Database Technologies (Unstructured Databases) |
|
| AIML-381-OJT | On Job Training | |
| Course Code | Course Name | |
|---|---|---|
| AIML-101-T | Object Oriented concepts and Programming using C++ | |
| AIML-102-P | Practical based on AIML-101-T | |
| MTS-101-T | Discrete Structures for Computer Science |
|
| MTS-102-P | Practical based on MTS-101-T | |
| STS-101-T | Notion of Statistical Data Analysis | |
| STS-102-P | Practical based on STS-101-T | |
| OE-101-AIML-T | From University Basket* | |
| SEC-101-AIMLT | Basic Probability theory and Discrete Distributions |
|
| AIML-101-IKS | Generic IKS | |
| AEC-101-ENG | English | |
| VEC-101-ENV | EVS-I | |
| Course Code | Course Name | |
|---|---|---|
| AIML-151-T | Introduction to Python Programming |
|
| AIML-152-P | Practical based on AIML-151-T | |
| MTS-151-T | Graph Theory | |
| MTS-152-P | Practical based on MTS-151-T | |
| STS-151-T | Continuous Probability Distributions and Testing of Hypothesis |
|
| STS-152-P | Practical based on STS-151-T | |
| OE-151-AIML-T | From University Basket* | |
| SEC-151-AIML-T | Databases – I | |
| AEC-151-ENG | English | |
| VEC-151-ENV | EVS-II | |
| CC-151-PE/ NSS /NCC |
From University Basket | |
| Course Code | Course Name | |
|---|---|---|
| AIML-201-MJ-T | Data Structures (using Python) | |
| AIML-202-MJ-T | Software Engineering | |
| AIML-203MJ-P | Lab course on AIML201MJ + AIML202MJ |
|
| AIML-221-VSC-P | Advanced Python Programming | |
| AIML-201-IKS | Computing in Ancient India | |
| AIML-231-FP | Mini Project | |
| AIML-241-MN-T | Linear Algebra | |
| AIML-242-MN-P | Practical on AIML241MN | |
| OE-201-AIML-T | From University Basket* | |
| AEC-201-ENG | From University Basket | |
| CC-201-PE/NSS /NCC |
From University Basket | |
| Course Code | Course Name | |
|---|---|---|
| AIML-251-MJ-T | Microservices using Python | |
| AIML-252-MJ-T | Artificial Intelligence – I | |
| AIML-253-MJ-P | Practical based on AIML251MJ + AIML252M |
|
| AIML-221-VSC-P | Databases – II | |
| AIML-241-FP | Mini Project | |
| AIML-241-MN-T | Logic | |
| AIML-242-MN-P | Practical based on AIML241MN | |
| OE-251-AIML-T | From University Basket* 2 | |
| SEC-251-AIML-P | DAA – I (Brute Force, D&C, Greedy, Dynamic Programming) |
|
| AEC-251-SUB | From University Basket | |
| CC251PE/NSS /NCC |
From University Basket | |
| Course Code | Course Name | |
|---|---|---|
| AIML-301-MJ-T | Artificial Intelligence – II | |
| AIML-302-MJ-T | Machine Learning Techniques – I (Supervised) |
|
| AIML-303-MJ-T | Data Preparation and Visualization | |
| AIML-304-MJ-T | DAA – II (Backtracking, B&B, Randomized, P&NP and approximation algos) |
|
| AIML-305-MJ-P | Practical based on AIML301MJ | |
| AIML-306-MJ-P | Practical based on AIML302MJ & AIML303MJ |
|
| AIML-310-MJ-T | Big Data Analytics | |
| AIML-311-MJ-P | Practical based on AIML306MJ | |
| OR | ||
| AIML-312-MJ-T | MEAN – I | |
| AIML-313-MJ-P | Practical based on AIML308MJ | |
| OR | ||
| AIML-314-MJ | Mobile app development | |
| AIML-315-MJ-P | Practical based on AIML310MJ | |
| AIML-321-VSC-P | Linux Shell Scripting | |
| AIML-331-FP | Project | |
| AIML-341-MN-T | Calculus for ML | |
| Course Code | Course Name | |
|---|---|---|
| AIML-351-MJ-T | Optimization Techniques | |
| AIML-352-MJ-T | Machine Learning Techniques – II | |
| AIML-353-MJ-T | Data Mining Techniques | |
| AIML-354-MJ-T | Evolutionary Algorithms (FL, GA) | |
| AIML-355-MJ-P | Practical based on AIML351MJ | |
| AIML-356-MJ-P | Practical based on AIML352MJ & AIML353MJ |
|
| AIML-360-MJ-T | Business Intelligence (Atoti) | |
| AIML-361-MJ-P | Practical based on AIML357MJ | |
| OR | ||
| AIML-362-MJ-T | MEAN II | |
| AIML-363-MJ-P | Practical based on AIML359MJ | |
| OR | ||
| AIML-364-MJ-T | Game Theory | |
| AIML-365-MJ-P P | Practical based on AIML361MJ | |
| AIML-371-VSC-P | Database Technologies (Unstructured Databases) |
|
| AIML-381-OJT | On Job Training | |
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