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A wide range of topics related to data structures and algorithms, including data types, data structures, abstract data types, algorithm characteristics, programming concepts, and database systems. It provides an overview of fundamental computer science topics such as data representation, algorithm analysis, database design, and big data analytics. The document references several textbooks and nptel courses that delve deeper into these subjects, making it a valuable resource for students and researchers interested in computer science and information technology.
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Dr. Babasaheb Ambedkar Technological University (Established as a University of Technology in the State of Maharashtra) (Under Maharashtra Act No. XXIX of 2014) P.O. Lonere, Dist. Raigad, Pin 402 103, Maharashtra Telephone and Fax. 02140 - 275142 www.dbatu.ac.in
WITH EFFECT FROM THE ACADEMIC YEAR 2020 - 2021 S.Y. B.Tech 2021- 22 T.Y. B.Tech 2022- 23 Final B.Tech 2023- 24
4. A total of 100 Marks for each practical course are distributed as follows:
1 Continuous Assessment Marks 60 2 End Semester Examination (ESE) Marks 40
It is mandatory for every student of B.Tech to score a minimum of 40 marks out of 100, with a minimum of 20 marks out of 60 marks in End Semester Examination for theory course.
This will be implemented from the first year of B.Tech starting from Academic Year 2019-20.
5. Description of Grades:
EX Grade: A ‗EX‘grade stands for outstanding achievement. EE Grade: The ‗EE‘grade stands for minimum passing grade. The students may appear for the remedial examination for the subjects he/she failed for the current semester of admission only and his/her performance will be awarded with EE grade only. If any of the student remain absent for the regular examination due to genuine reason and the same will be verified and tested by the Dean (Academics) or committee constituted by the University Authority. FF Grade: The ‗FF‘grade denotes very poor performance, i.e. failure in a course due to poor performance. The students who have been awarded ‗FF‘grade in a course in any semester must repeat the subject in next semester.
6. Evaluation of Performance: 1. Semester Grade Point Average (SGPA) and Cumulative Grade Point Average (CGPA)
(A) Semester Grade Point Average (SGPA): The performance of a student in a semester is indicated by Semester Grade Point Average (SGPA) which is a weighted average of the grade points obtained in all the courses taken by the student in the semester and scaled to a maximum of 10. (SGPI is to be calculated up to two decimal places). A Semester Grade Point Average (SGPA) will be computed for each semester as follows:
Where ‗n‘ is the number of subjects for the semester, ‗ci‘ is the number of credits allotted to a particular subject, and ‗gi‘ is the grade-points awarded to the student for the subject based on his perfor- mance as per the above table. -SGPA will be rounded off to the second place of decimal and recorded as such.
(B) Cumulative Grade Point Average (CGPA): An up to date assessment of the overall per- formance of a student from the time he entered the Institute is obtained by calculating Cumulative Grade Point Average (CGPA) of a student. The CGPA is weighted average of the grade points obtained in all the courses registered by the student since she entered theInstitute. CGPA is also calculated at the end of every semester (upto two decimal places). Starting from the first semester at the end of each semester (S), a Cumulative Grade Point Average (CGPA) will be computed as follows:
Where ‗m‘ is the total number of subjects from the first semester onwards up to and including the semester S, ‗ci‘ is the number of credits allotted to a particular subject, and ‗gi‘ is the grade-points awarded to the student for the subject based on his/her performance as per the above table. -CGPA will be rounded off to the second place of decimal and recorded as such.
AWARD OF DEGREE OF HONOURS (MAJOR) DEGREE The concept of Major and Minors at B.Tech level is introduced, to enhance learning skills of students, acquisition of additional knowledge in domains other than the discipline being pursued by the student, to make the students better employable with additional knowledge and encourage students to pursue cross-discipline research.
B. Eligibility Criteria for Minors
Student complying with these criteria will be awarded with B.Tech Degree in -------Engineering with Minor in ------------- Engineering. (For e. g.: B. Tech in Civil Engineering with Minor in Computer Engineering) For applying for Honours and Minor Degree the student has to register themselves through the proper system.
Different Categories of Courses and Credits for Degree Requirements
Sr. No.
Course Code
Course Name (L-T-P) Credits
1 BTBS101^ Engineering^ Mathematics^ –^ I^ (3- 1 - 0) 4 2 BTBS102^ Engineering^ Physics^ (3- 1 - 0) 4 3 BTBS107L^ Engineering^ Physics^ Laboratory^ (0- 0 - 2) 1 4 BTBS201^ Engineering^ Mathematics-II^ (3- 1 - 0) 4 5 BTBS202^ Engineering^ Chemistry^ (3- 1 - 0) 4 6 BTBS207L Engineering Chemistry Laboratory (0- 0 - 2) 1 7 BTBS301^ Engineering^ Mathematics-III^ (3- 1 - 0) 4 8 BTBSC^404 Probability^ and Statistics^ (3- 0 - 0) 3 TOTAL 25
Sr. No.
Course Code
Course Name (L-T-P) Credits
1 BTES103 Engineering Graphics (2- 0 - 0) 2 2 BTES105 Energy and Environment Engineering (2- 0 - 0) 2 3 BTES106 Basic Civil and Mechanical Engineering (2- 0 - 0) Audit 4 BTES108L Engineering Graphics Laboratory (0- 0 - 4) 2 5 BTES203 Engineering Mechanics (2- 1 - 0) 3 6 BTES204 Computer Programming (3- 0 - 0) 3 7 BTES205 Workshop Practices (0- 0 - 4) 2 8 BTES206 Basic Electrical and Electronics Engineering (2- 0 - 0) Audit 9 BTES208L Engineering Mechanics Laboratory (0- 0 - 2) 1 10 BTES209L Basic Computer Programming Laboratory (0- 0 - 2) 1 11 BTES405 Digital Logic Design & Microprocessors (3- 1 - 0) 4 TOTAL 20
Sr. No.
Course Code Course^ Name^ (L-T-P)^ Credits 1 BTHM104 Communication Skills (2- 0 - 0) 2 2 BTHM109L Communication Skills Laboratory (0- 0 - 2) 1 3 BTHM403 Basic Human Rights (3- 0 - 0) 3
(A) Development Engineering (B) Employability and Skills Development (C) Consumer Behaviour
5 BTHM505 (A) (B)^ BusinessEconomics and Communication^ Management (3- 0 - 0) 3
6 BTHM706 Foreign Language Studies Audit TOTAL 12
Sr. No. Course Code
Course Name (L-T-P) Credits
(A) Cryptography and Network Security (B) Business Intelligence (C) Block Chain Technology
(A) Virtual Reality (B) Deep Learning (C) Design Thinking
Sr. No. Course Code
Course Name (L-T-P) Credits
Field Training / Internship / Industrial Training (minimum of 4 weeks which can be completed partially in first semester and second Semester or in at one time).
Audit
2 BTCOS307 Seminar-I^ (0- 0 - 4) 2 3 BTCOS407^ Seminar-II^ (0- 0 - 4) 2 4 BTCOM507^ Mini^ Project-I^ (0- 0 - 4) 2 5 BTCOM607^ Mini^ Project-II^ (0- 0 - 4) 2 6 BTCOS708^ Project^ Phase-I^ (0- 0 - 4) 2 7 BTCOF801^ Project^ Work^ / Internship^ (0- 0 - 24) 12 TOTAL (^22)
Sr. No. Course Code
Course Name (L-T-P) Credits
1 BTCOL305^ Object^ Oriented Programming^ in Java^ (3- 1 - 0) 4 2 BTCOL406^ Operating^ Systems^ &^ Python^ Programming^ Lab^ (1- 0 - 4) 3 3 BTCOC603^ Machine^ Learning^ (3- 1 - 0) 4 4 BTCOL606^ Competitive^ Programming^ &^ Machine^ Learning^ Lab^ (1- 0 - 4) 3 5 BTCOC701^ Artificial^ Intelligence^ (3- 0 - 0) 3 6 BTCOC702^ Cloud Computing^ (3- 0 - 0) 3 7 BTCOC707^ Artificial^ Intelligence^ &^ Cloud^ Computing^ Lab^ (0- 0 - 4) 2 TOTAL 22
Sr. No. Category of courses Minimum credits to be Earned 1 Basic^ Science^ Course^ (BSC)^25 2 Engineering^ Science^ Course^ (ESC)^20
3 Humanities and Social Science including Management Courses (HSSMC) 12 4 Professional^ Core^ Course^ (PCC)^44 5 Professional^ Elective^ Course^ (PEC)^09 6 Open^ Elective^ Course^ (OEC)^06 7 Seminar^ /^ Mini^ Project^ /^ Internship^ /^ Major^ Project^22 8 Emerging^ Courses^22 TOTAL (^160)
Programme Outcomes (PO)
After undergoing the learning process of four years, students of B.Tech. (Computer Engineering) at Dr.
Babasaheb Ambedkar Technological University will have an ability to build information systems and provide
computer based solutions to real life problems. The graduates of this programme will demonstrate following
abilities and skill sets.
Outcome Identifier Outcomes
PO1 The graduates will possess the knowledge of various discrete mathematical structures, Logic and numerical techniques.
PO The graduates will have an ability to apply mathematical formalism of Finite Automata and Probability in modeling and analysis of systems.
The graduates will have knowledge of core programming paradigms such as database orientation, object orientation, and agent orientation and concepts essential to implement software based system.
PO The graduates will have an ability to analyze problem, specify algorithmic solutions to them and to evaluate alternative solutions.
The graduate will have broad understanding of the impact of a computer based solutions in economic, environmental and social context and will demonstrate use of analytical tools in gathering requirements and distilling relevant information to provide computer based solutions.
PO The graduates will demonstrate the ability to build human centric interfaces to computers.
PO The graduates will posses the knowledge of advanced and emerging topics in the fields of operating systems, databases and computer networks.
PO8 The graduates will posses skills necessary to communicate design engineering ideas. The skills set include verbal, written and listening skills.
PO The graduates will understand ethical issues in providing computer based solutions also they will have an ability and attitude to address the ethical issues.
The graduates will understand the role of system software such as operating systems, database management systems, compilers, middle-ware and internet protocols in realizing distributed information environment
The Graduate Attributes are the knowledge skills and attitudes which the students have at the time of
graduation. These Graduate Attributes identified by National Board of Accreditation are as follows:
(a) Engineering knowledge: An ability to apply knowledge of mathematics, science and engineering.
(b) Problem analysis: An ability to design and conduct experiments as well as to analyze and interpret data.
(c) Design / development of solutions: An ability to design a system, a component, or process, to meet
desired needs within realistic constraints such as economic, environmental, social, political, ethical, health
and safety, manufacturability, and sustainability.
(d) Individual and team work: An ability to function on multidisciplinary teams.
(e) Problem Solving: An ability to identify, formulate and solve engineering problems.
(f) Ethics: An understanding of professional and ethical responsibility.
(g) Communication: An ability to communicate effectively.
(h) Environment and sustainability: The broad education necessary to understand the impact of engineering
solutions in a global, economical, environmental and social context.
(i) Life-long learning: Recognition of the need for and an ability to engage in life-longlearning.
(j) A knowledge of technology: Aknowledge of contemporary issues, and state of art technology
(k) Modern tool usage: An ability to use the techniques, skills, and modern engineering tools necessary for
engineering practice.
(l) Project management and finance: Demonstrate knowledge and understanding of the engineering and
management principles and apply in multidisciplinary environments.
Dr. Babasaheb Ambedkar Technological University, Lonere UG CURRICULUM 2020 Page 16
Course Category
Course Code Course Title
Weakly Teaching Hrs Evaluation Scheme Credit L T P CA MSE ESE Total BTCOC401 Design & Analysis of Algorithms 3 1 -^20 20 60 100 BTCOC402 Operating Systems (^3 1) - 20 20 60 100 4 BTHM403 Basic Human Rights (^3) - - 20 20 60 100 3 BTBSC 404 Probability and Statistics 3 -^ -^20 20 60 100 BTES405 Digital Logic Design & Microprocessors 3 1 -^20 20 60 100 BTCOL406 Operating Systems & Python Programming Lab 1*^ -^4 60 -^40 100 BTCOS407 Seminar – II 4 60 - 40 100 2 BTCOF408 Field Training / Internship / Industrial Training – II Evaluation
Audit to be evaluated in V Sem. TOTAL 16 3 8 220 100 380 700 23
*Note: Lecture should be conducted only for Python Programming
Dr. Babasaheb Ambedkar Technological University, Lonere UG CURRICULUM 2020 Page 17
Course Category
Course Code Course Title
Weakly Teaching Hrs Evaluation^ Scheme^ Credit L T P CA MSE ESE Total BTCOC501 Database Systems (^3 1) - 20 20 20 100 4 BTCOC502 Theory of Computation (^3 1) - 20 20 20 100 4 BTCOC503 Software Engineering (^3 1) - 20 20 20 100 4 BTCOE504 Elective – II (A) Human computer Interaction (B) Numerical Methods
BTHM505 Elective – III (A) Economics and Management (B) Business Communication
BTCOL506 Database Systems & Software Engineering Lab -^ -^4 60 -^40 100 BTCOM507 Mini-project – I (^) - - 4 60 - 40 100 2 BTCOF408 Field Training / Internship / Industrial Training-II (Evaluation)
TOTAL 15 3 8 220 100 380 700 22
Dr. Babasaheb Ambedkar Technological University, Lonere UG CURRICULUM 2020 Page 19
Course Category
Course Code
Course Title
Weakly Teaching Hrs Evaluation^ Scheme^ Credit L T P CA MSE ESE Total BTCOC701 Artificial Intelligence (^3) - - 20 20 60 100 3 BTCOC702 Cloud Computing^3 - - 20 20 60 100 3 BTCOE703 Elective – VI (A) Bioinformatics (B) Distributed System (C) Big Data Analytics
BTCOE704 Open Elective – VII (A) Cryptography and Network Security (B) Business Intelligence (C) Block chain Technology
BTCOE705 Open Elective – VIII (A) Virtual Reality (B) Deep Learning (C) Design Thinking
BTHM706 Foreign Language Studies* - - 4 - - - - Audit BTCOL707 Artificial Intelligence & Cloud Computing Lab -^ -^4 60 -^40 100 BTCOS708 Project Phase – I (^) - (^) - - 60 - 40 100 2 BTCOF608 Field^ Training^ /^ Internship^ / Industrial Training – III (Evaluation)
*Any Foreign language can be opted by the students as per their need /demand conducted in online or offline mode by the institute.
Dr. Babasaheb Ambedkar Technological University, Lonere UG CURRICULUM 2020 Page 20
Course Category
Course Code Course Title
Weakly Teaching Hrs
Evaluation Scheme Credit
L T P CA MSE ESE Total BTCOF801 (^) Project phase – II (In-house) / Internship and Project in Industry