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KL Deemed to be University
Department of Computer Science and Engineering-Honors ~ KLAZIZ.
Course Handout
2023-2024, Even Sem
Course Title DATA STRUCTURES
Course Code 238C1202
L-TP-S Structure 202-4
Pre-requisite
Credits 4
Course Coordinator ‘Krishnamurthy Ramasubramanian
Team of Instructors
Teaching Associates
Syllabus : Algorithm Analysis: Mathematical Background, Model, Analyze, Running Time Calculations. Sorting:
Introduction to Sorting Algorithm, Insertion Sort, Shell sort, Heap sort, Merge sort, Quick sort, Bucket Sort, External
Sorting. Dynamic Memory implementation of linear data structures: Singly Linked list, doubly linked list, circularly
linked list, Applications of data structures: Polynomial Manipulation, Implementation of Stacks and Queues using
Linked Lists, Circular Queue, Deque(Double ended queue), Applications of Stacks and Queues. Priority Queues
(Heaps): Model, Simple Implementations, Binary Heap, Applications of Priority Queues. Hashing: Introduction to
Hashing, Hash Function, Separate Chaining, Hash Tables without Linked Lists, Rehashing, Hash Tables in the
Standard Library, Extendible Hashing, Trees: Introduction to trees, Binary Trees, Tree Traversals, The Search Tree:
Binary Search Trees, AVL Trees, Splay Trees, B-Trees, Red black trees. Graph Data Structure: Introduction to Graph
data structure — basic terminologies- transitive closure -representation of graphs: adjacency matrix, linked list- Graph
traversals: Breadth First Search, Depth First Search)- minimal spanning trees: Prim’s &Kruskal’s Algorithm,
Text Books :1. Mark Allen Weiss, Data Structures and Algorithm Analysis in C, 2010 , Second Edition,
PearsonEducation. 2, Ellis Horowitz, Fundamentals of Data Structures in C: Second Edition, 2015
Reference Books :1. A.V.Aho, J. E. Hoperoft, and J. D. Ullman, “Data Structures And Algorithms”, Pearson
Education, First Edition Reprint2003. 2. Horowitz, Sahni, Anderson Freed, “Fundamentals of datastructures in C” ,
Second Fdition-2007. 3. R. F. Gilberg, B. A. Forouzan, “Data Structures”, Second Edition, Thomson India Ed ition,
2005 4. Robert Kruse, C.L. Tondo, Bruce Leung, Shashi Mogalla, “Data Structures & Program Design in C”,
FourthEdition-2007.
Web Links :1. https://nptel.ac.in/courses/106102064 2. https://nptel.ac.in/courses/106101060/4 3.
https://www.edx.org/course/algorithms-and-data-structures-1 4, https://in.udacity.com/course/intro-to-algorithms-—
8215 5, htps:/www.coursera.org/learn/data-structuresaction=enroll
Course Rationale :To elaborate the reason why this course is included and towards what skills does this map 1
elaborate how the course will be offered mentioning if it is offered through a project based learning or through case~
studies or through experiential learning,
Course Objectives :The fundamental study, analysis, and implementation of basic data structures and algorithms for
the development of realtime practical applications
COURSE OUTCOMES (COs):
Blooms
co ‘Taxonomy.
so Course Outcome (CO) POIPSO Level
(@TL)
col Understand various sorting algorithms and analyse the efficiency of the PO1,PO2 4
algorithms,
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applications,
(Co2| Implement and evaluate Linear Data Structures and Demonstrate their
PO2,PO3,PO1
techniques
Co3| Implement and evaluate tree data structures and understand hashing
PO1,PO2,PO3
(CO4| Understand graph data structures and apply graphs to solve problems |PO1,PO2
Cos] "Design, Develop and evaluate common practical applications for linear nog p10,p07
and nonlinear data structures." -PO10
"Skill the students in such a way that students will be able to develop
C06] logic that help them to create programs on both linear and non-linear |PO7,PO9,PO10
datastructuresand its applications.”
COURSE OUTCOME INDICATORS (COIs
Outcome) Highest] Com corz cons cond cors | core
Bu2
"Mathematical
lbackground, model Bus Bud
and running time "Demonstrate |"Demonstrate
calculations, Bees External sorting |External
cor 4 introductionto Running ime and Bucket sorting and
sorting.Demonstrate|calculations | Sorting. Bucket Sorting.
and Implement Analyze its | Analyze its
Insertion Sort, Shell Efficiency." | Efficiency.”
Sort, and Heap
Sort.”
Bis
Introduction to
Dynamic Memory
Allocation and
List-based ical of
Bue implementation. [Be
Mhustrate “List based | Priority queues
Linked List Singly and
cor |¢ Eka Egy "8 implementation of implementations sentation
Creation, Insertion, | Hterent Hsts and of Queue and oF and Double
Deletion, Display S [Ended Queue.
applications.List_ applications.” | pnded Queue
based applications.”
implementations plications
of Stack and
Enumerate its
applications."
Bus
"Introduction to
Hashing table,
Hashing function, | BtI3 Bilt
Bue Separate chaining |"Tree traversal _| "Demonstrate
cos 4 eine Concepts [an open and Search trees |Red-Black tree,
addressing Double construction and | Splay tree and
hashing, implementation"| B tree"
Extendible
hashing and
Rehashing"
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Biz
"data structure —
Basic Introduction
to Graph
terminologies
‘Transitive closure |p pus
and representation |p
inimum [Minimum
co4 Bala of spanning tree~ | spanning tree—
‘Graph Terminology | graph techniques. /SP3" panning
- Grepty Igorithm algorithm
Traversing algori gorit
Techniques
Demonstrate
Breadth First
Search and Depth
First Search"
Bus
Evaluate
and
Discriminate
the
significance
cos |4 of both linear
and nonlinear
data
structures
with respect
to real world
applications.”
Bild
cos [3 skill
Problems
PROGRAM OUTCOMES & PROGRAM SPECIFIC OUTCOMES (POs/PSOs)
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Po
Now Program Outcome
pot [Engineering Knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an
engineering specialization to the solution of complex engineering problems
Problem Analysis: Identify, formulate, review research literature, and analyse complex engineering problems
PO2 |reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering
sciences
[Design/Development of Solutions: Design solutions for complex engineering problems and design system
PO3. components or processes that mect the specified needs with appropriate consideration for the public health and
safety, and the cultural, societal, and environmental considerations
‘Conduct Investigations of Complex Problems:Use research-based knowledge and research methods including
og |design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid
‘conclusions for complex problems that cannot be solved by straightforward application of knowledge, theories
and techniques applicable to the engineering discipline.
‘Modern Tool Usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT
POS. |tools including prediction and modelling to complex engineering activities with an understanding of the
limitations.
PO6 |The Engineer and Society:Apply reasoning informed by the contextual knowledge to assess societal, health,
safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering
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practice
po7 [Environment and Sustainability:Understand the impact ofthe professional engineering solutions in societal and
environmental contexts, and demonstrate the knowledge of, and need for sustainable development
os Ethics: Apply ethical principles and commit t professional ethics and responsibilities and norms ofthe
engineering practice
09 _|lndividual and Team Work: Function effectively as an individual, and as a member or leads in diverse teams,
and in multidisciplinary settings
(Communieation:Communicate effectively on complex engineering activities with the engineering community
PO10|and with society at large, such as, being able to comprehend and write effective reports and design
documentation, make effective presentations, and give and receive clear instructions
Project Management and Finance: Demonstrate knowledge and understanding of the engineering and
POI {management principles and apply these to one’s own work, as a member and leader in a team, to manage
projects and in multidisciplinary environments.
Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and
por2
lifelong learning in the broadest context of technological change.
PSO1]An ability to design and develop software projects as well as Analyze and lest user requirements
PSO2|An Ability to gain working Knowledge on emerging software tools and technologies.
Lecture Course DELIVERY Plan:
Teaching
Sess.No.| CO | COL Topic NellPane Nel Learning | EvaluationComponents
Methods
Ref Book
Introduction to data structures-_|[1],CH 3.1Page ALM.nd Semester
‘COL-| Mathematical background, Model, |no 57-58,Ref Exam Home
1 C1 Algorithm Analysis - Ruming [Book [1,CH | CPaTaIK | cSienment, SEM-
time calculations 2.1Page no 31- EXAMI
36
Ref Book
‘cor, | Insertion Sort Analysis and ee Re ALMnd Semester
2 co1|$F| Implementation, Shell Sort 31-86 Ref chalk,PPT, Talk| EAT
2 | Analysis, and [implementation | B00K [1],CH Assignment,SEM-
lysis, and Imp! 7.4Page no EXAMI
238-240
ALM,Continuous
Evaluation - Lab
Exercise,End Semester
Ref Book [1], ;
3 'cor|COF| Quick Sort Analys CH 7.2 Page no | Chatk,PPT,Talk| E*am-Home
3 [Implementation peace Assignment,Retin,
Global Platforms,SEM-
EXAMI,Skilling
Continuous Evaluation
ALM,End Semester
4 Ref Book End Se
4 cor |COF | Merge Sort Analysis and [1],CH 7.4Page |Chalk, PPT, Talk | X8™-Home
4 {Implementation nen AssignmentEM-
EXAMI
s o1]Cor-|Demonstrate Bucket Sort, Ref Book | Chatk,PPT,Talk| ALM,End Semester
4 [Demonstrate Extemal Sorting _|[1],CH 7.7Page Exam,Home
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Teaching-
Sess.No.| CO | COL Topic NollPage Nol Learning | EvaluationComponents
‘es Methods
ino 252-262, ‘Assignment, SEM-
Ref Book [1], EXAMI
CH7.11,Page
no 250-352
ALM,Continuows
Evaluation - Lab
Exercise,Lind Semester
Exam Home
. - Ref Book [1], Assignment,Lab End
6 con] SOF Binaly Linked ist Creation, CH 3.1 Page no |Chalk,PPT; Talk| Semester Exam,Lab In
» » Display 57-58 ‘Semester Exam,Ratings
‘on Global Platforms, SEM-
EXAMI Skill In-Sem
Exam Skilling Continuous
Evaluation
cor-|Singly Linked List Reverse Ref Book [1], ALMarnd Semester
7 (co2/ OF |operation, Count, Sorting CH 3.1 Page no |Chalk,PPT,Talk| Exe
3 Joperations, Sum of elements 57-58 -Assignment,SEM-
P Z EXAMI
ALM.End Semester
Ref Book [1]. :
* co2|COF Doubly Linked tist Creation, (SPOT. | cyan pprstane|ExamtTome
3 |Insertion, Deletion, Display | [S14 76.0 AssignmentSEM-
EXAMI
ALM.End Semester
Ref Book [1], ‘
(COL-| Circular Linked list - Creation, Exam Home
° C023 Insertion, Deletion, Display Saag Be Be |CBRIKPPETON| a signment,SEM-
EXAMI
RefBook [1], ALM.End Semester
cor ; ce (Ub CH7.I1, Exam,Home
To [co2] FF /stack Using Singly Linked tse [LOM SS): [chalk PPT. Ta eee ey.
252 EXAMI
ul |co2|OF| Queue Using Singly Linked List CH 21 Posen | chal: PPT-Talk| Bentone
4 ie Sinely Sse PPT AIK! ssignment,SEM-
EXAMI
Infix to Postfix Expression ALM,End Semester
cole Ref Book [1],
12 |co2|COF Conversion, Implementation, OT ey pre tay|Extmtome
4 | Evaluation of postfix expression, CY! 82 Assignment,SEM-
Balancing symbols EXAMI
cor praetne setts pts
13 |€02)4° "Queue, Dequeue, Priority queue |}4 8? Page ne [ChalksPPT.TSIK| a ienment,SEM-
EXAMI
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Teaching
Sess.No.| CO | COL Topic NollPage Nel Learning | EvaluationComponents
ia ‘Methods
cor-|Heshing ~ Hash function, Separate |Ref Book [1], ALMarnd Semester
14 |cos|©F chaining, Linear probing and |CH 5.3 Page no |Chalk,PPT,Talk| EX¢™!
1 | Quadratic probin 168-172 ‘Assignment SEM-
proving EXAM2
ALM.End Semester
Ref Book [1], ‘
‘COL-|Double hashing, Rehashing and | Exam,Home
1s CO3)> | Extendible hashing Se teen ne |CBIRPPTOIK| assignment, SEM-
EXAM2
ALM.End Semester
. Ref Book [1], ‘
16 |co3|COF Binary Tree «Tree traverals, [OTP ay pre tay Examlome
3 [Expression tree construction [CAS Assignment,SEM-
EXAM2
con Binary Search Tree — Ref Book [1}, ALM nd Semester
17 |cos|©°F construction, Insertion, Deletion, |CH 4.2 Page no |Chalk,PPT, Talk| EX*™
3 |imptementation 108 - 116 Assignment, SEM-
" EXAM2
ALM,End Semester
7 seare Ref Book [1], :
18 [co3|COl|Binary Search Tree— Min, Max, [C14 4.9 page no |Chalk,PPT, Talk| EX@™-Home |
4 | search operations. wea AssignmentSEM-
EXAM2
cop-|AVE Tree — Rotations and Ref Book [1], ALM End Semester
19 C03) "| Operations, AVL Tree CH 4.4 Page no |Chalk,PPT, Talk| S270".
4 | feuptementation 127-138 Assignment,SEM-
EXAM2
Ref Book [1],
con-|Binary Heap Sort Analysis and [O13 75 Page ne ALM End Semester
20 |co3|0°"| implementation, B~ Tree + T | chalk, PPT Talk| Exe
explorer Book [1], CH AssignmentSEM-
4.7 Page no EXAM2
134-138
ALM,End Semester
RefBook [1], y
3] COl|Splay tree operations, | Exam Home
21 [C34 Construction of Red-Black trees [8 4-).Pake ne [ChalksPPT.TSIK| g sienment,SEM-
EXAM2
Graphs Representation — ALM.nd Semester
“ms m Ref Book [1], ©
22 [cog|COl-|Adiacency Matrix, Graphs CH 9.1 Page no | Chalk,PPT, Talk| 2¥4™-Home
1 [Representation Linked List, [C18 AssignmentSEM-
‘Transitive Closure EXAM2
23 |co4|COL-|Graph Traversal-BFS, DFS [Ref Book [1], |Chalk,PPT,Talk| ALM,End Semester
2 CH9.2 Page no Exam,HHome
302 - 306
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Teaching-
Sess.No.| CO | COL Topic NollPage Nel Learning | EvaluationComponents
es Methods
‘Assignment, SEM-
EXAM2
ALM.nd Semester
1, [Ref Book [1], :
‘COL-| Minimum Spanning Tree — Prim’s h Exam Home
24 004), "Algorithm, Kruskal’s Algorithm |CH.9-5 Page no |Chall,PPT.Talk) ¢onment SEM-
330-332
EXAM2
Lecture Session wise Teaching ~ Learning Plan
SESSION NUMBER : |
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BTL| Learning | Learning
Methods | _ Methods
= NOT
5 [Recap / Introduction 1 |chalk [APPLICABLE -
Introduction to data structures. Mathematical background, - NOT
40 Model, Algorithm Analysis - Running time calculations and |3—_{ Talk APPLICABLE -
finding the time complexities
- NOT
5 (Conclusion 1 tak [APPLICABLE -
SESSION NUMBER : 2
No Session Outcomes are mapped
Teaching- ‘Active
‘Time(min) Topic 'BTL| Learning | Learning
Methods | Methods
= NOT
5 [Recap / Introduction 1 |chatk ‘APPLICABLE -
0 Insertion Sort Analysis and Implementation Shell Sort Analysis, [3 [pay [One minute
land Implementation [paper
| NOT
5 Conclusion 1 |Tak |APPLICABLE -
SESSION NUMBER : 3
No Session Outcomes are mapped
Teaching ‘Active
‘Time(min) ‘Topic BYL| Learning | Learning
Methods | _ Methods
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[NOT
s ‘Recap /Introduetion 1 [tak [APPLICABLE -
40 lQuick Sort Analysis Implementation and analysis 3 | Talk eerie
NOT
s ‘Conclusion & Recap 1 [talk APPLICABLE -
SESSION NUMBER : 4
No Session Outcomes are mapped
Teaching- ‘Active
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
-NOT
s [Recap / Introduction 1 fale [APPLICABLE -
NOT
40 [Merge Sort Analysis and Implementation 3 {talk ‘APPLICABLE -
-NOT
s (Conclusion 1 {talk APPLICABLE -
SESSION NUMBER : 5
No Session Outcomes are mapped
Teaching- A
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
= NOT
s [Recap / Introduction 1 fraik ‘APPLICABLE -
NOT
30 Examples on Bucket and External sorting 3 [talk [APPLICABLE -
-NOT
10 ALM 1 |chatk ‘APPLICABLE -
-NOT
s (Conclusion & Recap 1 [talk [APPLICABLE -
SESSION NUMBER : 6
No Session Outcomes are mapped
Teaching- ‘Active
‘Time(min) ‘Topic BYL| Learning | Learning
Methods | Methods
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saboutblank
[NOT
s ‘Recap / Introduction 1 |raik [APPLICABLE -
= NOT
40 ISingly Linked List - Creation, Insertion, Deletion, Display [3 | Talk ‘APPLICABLE -
= NOT
5 IConctusion 1 |ratk ‘APPLICABLE -
SESSION NUMBER : 7
No Session Outcomes are mapped
‘Active
‘Time(min) Topic BTL Learning
Methods
“NOT
s [Recap /Introduetion 1 |raik [APPLICABLE -
singly Linked List -Reverse operation, Count, Sorti NOT
40 yy . peration, Count, Sorting 3 |tak [APPLICABLE -
loperations, Sum of elements A
NOT
s Conclusion 1 talk APPLICABLE -
SESSION NUMBER : 8
No Session Outcomes are mapped
Teaching- ‘Aetive
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
=-NOT
s [Recap / Introduction 1 |Tali [APPLICABLE -
‘Doubly Linked list and its operations:Insertion, Deleti Nor
40 ly Linke jperations-Insertion, Deletion, sm pee apie.
Display a
= NOT
s Conclusion 1 ral [APPLICABLE -
SESSION NUMBER : 9
No Session Outcomes are mapped
Active
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
-NOT
s [Recap / Introduction 1 |chatk [APPLICABLE -
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[NOT
10 (Circular Linked list- Creation, and operations on CLLke || yy eee ABLE
Insertion, Deletion, Display A
= NOT
s Conclusion 1 fraik ‘APPLICABLE -
SESSION NUMBER : 10
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BTL| Learning
Methods | Methods
“NOT
s [Recap /Introduetion 1 |chatk APPLICABLE -
“NOT
30 [Stack Using Singly Linked ist and implementation 3 |Taik [APPLICABLE -
10 ALM 1 talk (Group
Discussion
NOT
s (Conclusion & Recap 1 {talk APPLICABLE -
SESSION NUMBER : 11
No Session Outcomes are mapped
Teaching- A
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
= NOT
s [Recap / Introduction 1 |chatk ‘APPLICABLE -
NOT
40 ‘Queue Using Singly Linked List and operations on it 3 fratk ‘APPLICABLE -
-NOT
5 Conclusion 1 | talk ‘APPLICABLE -
SESSION NUMBER : 12
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
= NOT
s [Recap / Introduction 1 [chalk [APPLICABLE -
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Infix to Postfix Expression Conversion, Implementat Pot
40 e A rememeons 3 |Talk APPLICABLE -
[Evaluation of postfix expression, Balancing symbols A
--NOT
5 (Conclusion 1 | Talk |APPLICABLE -
SESSION NUMBER : 13
No Session Outcomes are mapped
Teaching- Acti
Time(min) Topie BTL Learning
Methods Methods
[NOT
5 [Recap / Introduction 1 | Chatk APPLICABLE -
"Nor
30 ‘Types of Queues ie.,Circular Queue, Dequeue, Priority queue [3 | Talk |APPLICABLE -
0 (Quiz/Test
10 ALM 1 | Chalk Questions
- NOT.
5 \Conclusion & Recap 1 | Talk APPLICABLE -
SESSION NUMBER : 14
No Session Outcomes are mapped
Teaching- Ae
Time(min) Topic BTL| Learning Learning
Methods Methods
NOT
5 [Recap / Introduction 1 | Chalk |APPLICABLE -
. NOT,
40 Hashing - Hash function, Separate chaining, Linear probing and |, | py. APPLICABLE -
‘Quadratic probing
- NOT.
5 (Conclusion 1 | Talk |APPLICABLE -
SESSION NUMBER : 15
No Session Outcomes are mapped
Teaching-
Time(min) Topic BTL) f Learning
Methods Methods
NOT
5 [Recap / Introduction 1 | Chalk |APPLICABLE -
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[NOT
40 [Double hashing, Rehashing and Extendible hashing 3 [tak [APPLICABLE -
= NOT
s Conclusion 1 fraik ‘APPLICABLE -
SESSION NUMBER : 16
No Session Outcomes are mapped
TTeaching- ‘Acti
‘Time(min) Topic BTL Learning
Methods | Methods
“NOT
s [Recap /Introduetion 1 |enatk APPLICABLE -
“NOT
30 Binary Tree - Tree traversals, Expression tree coustruction [3 | Talk [APPLICABLE -
10 ALM 1 [chalk Leading
question
NOT
s (Conclusion & Recap 1 | tak APPLICABLE -
SESSION NUMBER : 17
No Session Outcomes are mapped
Teaching- rr
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
= NOT
s [Recap / Introduction 1 |chak ‘APPLICABLE -
NOT
Introduction to Binary Search Tree — Construction, Insertion, ABLE
40 IDeletion, Implementation 3 | Talk APPLICABLE -
-NOT
5 Conclusion 1 [tale ‘APPLICABLE -
SESSION NUMBER : 18
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BIL | Learning
Methods | Methods
= NOT
s [Recap / Introduction 1 |enatk [APPLICABLE -
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[—NoT
40 Binary Search Tree ~ Min, Max, search operations. 3 | Talk |APPLICABLE -
NOT
5 (Conclusion 1 | Talk |APPLICABLE -
SESSION NUMBER : 19
No Session Outcomes are mapped
Teaching-
Time(min) Topic BTL| Learning
Methods Methods
-—NoT
5 [Recap / Introduction 1 |Chatk APPLICABLE -
"Nor
40 |AVL Tree - Rotations and Operations, AVL Tree Implementation |3 | Talk |APPLICABLE -
--NOT
5 (Conclusion 1 |Talk |APPLICABLE -
SESSION NUMBER : 20
No Session Outcomes are mapped
Teaching-
Time(min) Topic BTL| Learning Learning
Methods Methods
-—NoT
5 [Recap / Introduction 1 |Chatk |APPLICABLE -
‘Binary Heap Sort Analysis and Implementation, B ~Ts hor
40 wy eee ysis and Implementation, B~ Tree 3 |Talk 'APPLICABLE -
(Construction A
-NOT
5 (Conclusion 1 |Talk |APPLICABLE -
‘SESSION NUMBER : 21
No Session Outcomes are mapped
‘Active
Time(min) Topic BTL| Learning Learning
Methods Methods
"NOT,
5 [Recap / Introduction 1 | Chatk |APPLICABLE -
NOT,
30 ‘Splay tree operations, Construction of Red-Black trees 3 | Talk |APPLICABLE -
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[NOT
10 ALM 2 | Chalk 'APPLICABLE -
= NOT
3 ‘Conclusion & Recap 1 talk [APPLICABLE -
SESSION NUMBER : 22
No Session Outcomes are mapped
Teaching
Time(min) Topic BTL!
Methods | Methods
<= NOT
5 [Recap / Introduction 1 [chalk APPLICABLE -
|Graphs Representation — Adjacency Matrix, Graphs [NOT
40 [Representation ~ Linked List, Transitive Closure Ss [Talk APPLICABLE -
= NOT
5 IConelusion 1 talk [APPLICABLE -
SESSION NUMBER : 23
No Session Outcomes are mapped
Teaching
Time(min) Topic BTL| Learning | Learning
Methods | Methods
<=NOT
5 [Recap / Introduction 1 | Chalk 'APPLICABLE -
= NOT
30 \Graph Traversal - BFS, DFS 3 | Tank 'APPLICABLE -
10 ALM 2 |Talk Bust in-time
teaching
-NOT
5 ‘Conclusion & Recap 1 [talk [APPLICABLE -
SESSION NUMBER : 24
No Session Outcomes are mapped
Teaching-
Time(min) Topic BIL | Learning
Methods Methods
= NOT
5 [Recap / Introduction 1 [chalk [APPLICABLE -
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" 7 --NOT
50 ‘Minimum Spanning Tree — Prim’s Algorithm, Kruskal’s, 3 |r APPLICABLE -
‘Algorithm iM
(Quiz/Test
10 ALM. 2 |Chalk [Questions
-—-NOT
5 \Conclusion & Recap 1 | Talk APPLICABLE -
Tutorial Course DELIVERY Plan: NO Delivery Plan Exists,
‘Tutorial Session wise Teaching — Learning Plan
No Session Plans Exists
Practical Course DELIVERY Plan:
Tutorial
Session ‘Topics ‘CO-Mapping
no.
1 Develop a program to implement the sorting techniques. a, Insertion Sort b. Shell a
Sort
2 Develop a program to implement the sorting technique. a. Quick Sort b. Merge Sort_ [COS
3 List Implementation- a, Singly Linked List cos
4 List Implementation-(Operations like search,sort,sum) a. Singly Linked List cos
5 Circular Linked List a, Circular Linked List b, Doubly Linked List cos
6 Linked Implementation of — a, Stack cos
7 Linked Implementation of — a, Queue cos
8 Stack Applications— a, Infix to Postfix Expression Conversion b, Postfix Expression |
Evaluation
9 Hashing a, Separate chaining b. Open Addressing cos
10 __ [Binary search Tree a. Creation of BST b. Traversal-In-order, Pre-order, Post-order _|COS
i AVL Tree-Self Balancing Tree cos
12___|Graphs~a. BFS b. DFS LAB IN-SEM EXAM-IL cos
Practical Session wise Teaching — Learning Plan
SESSION NUMBER : 1
No Session Outcomes are mapped
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Teaching- ‘Active
‘Time(min) Topic BIL Learning
Methods | Methods
[Develop a to implement the sorting tech Nor
50 P a program to implement the sorting techniques. syne RPPeCABLE -
Insertion Sort A
= NOT
40 b. Shell Sort 3. |ure [APPLICABLE -
-=NOT
10 Viva 2 | Talk [APPLICABLE -
SESSION NUMBER : 2
No Session Outcomes are mapped
‘Active
Time(min) Topic BIL Learning
Methods Methods
IDevelop a program to implement the sorting technique. a. Quick NOT
50 Ison ee " g fecha 3 |Lre APPLICABLE -
NOT
40 b.Develp a program toimplement the sorting technique. Merge 1s |p APPICABLE -
“NOT
10 Viva 2 | Talk [APPLICABLE -
SESSION NUMBER : 3
No Session Outcomes are mapped
“Teaching- ‘Active
Time(min) Topic 'BTL| Learning | Learning
Methods | _ Methods
= NOT
50 List Implementation- a. Singly Linked List 3 |ure [APPLICABLE -
= NOT
40 List Implementation. a. Singly Linked List 3 |ure [APPLICABLE -
-=NOT
10 Viva 2 |tatk |APPLICABLE -
SESSION NUMBER : 4
No Session Outcomes are mapped
“Teaching ‘Active
‘Time(min) Topic BYL| Learning | Learning
Methods | Methods
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List Implementation-(Operations like search, sort, Singh Pot
50 plementation-(Operations like search sortsum) a. Singly |, | 7¢ eee ABLE
Linked List A
List Implementation-(Operations like search, sort, Singh pane
10 plementation-(Operations like search sortsum) a. Singly |, |. ¢ or BLE
[Linked List A“
= NOT
10 Viva 2 |Talk "APPLICABLE -
SESSION NUMBER : 5
No Session Outcomes are mapped
Teaching- ‘Active
‘Time(min) Topic BTL Learning
Methods | Methods
“NOT
50 (Cireular Linked List a. Circular Linked List Lc [APPLICABLE -
“NOT
40 [Doubly Linked List 3 |ure [APPLICABLE -
“= NOT
10 Vive 2 | talk APPLICABLE -
SESSION NUMBER : 6
No Session Outcomes are mapped
Teaching- ‘etive
‘Time(min) Topic BTL] Learning | Learning
Methods | Methods
= NOT
50 [Linked Implementation of ~ a. Stack 3 fire [APPLICABLE -
= NOT
40 [Linked Implementation of — a, Stack 3s |ure ‘APPLICABLE -
= NOT
10 Viva 2 |ralk ‘APPLICABLE -
SESSION NUMBER : 7
No Session Outcomes are mapped
Teaching- Active
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
NOT
4s [Linked Implementation of - a. Queue 3 |ure [APPLICABLE -
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[NOT
las [Linked Implementation of ~ a. Queue 3s fire [APPLICABLE -
= NOT
10 Viva 2 [rai "APPLICABLE -
SESSION NUMBER : 8
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BIL
Methods | Methods
“NOT
45 ‘Stack Applications—a, Infx to Postfix Expression Conversion. irc APPLICABLE -
“NOT
45 Postfix Expression Evaluation 3 |ure [APPLICABLE -
= NOT
10 Viva 2 [ra [APPLICABLE -
SESSION NUMBER : 9
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
“NOT
45 [Hashing a. Separate chaining 3 [Tc [APPLICABLE -
= NOT
4s lb. Open Addressing 3 |urc [APPLICABLE -
= NOT
10 Viva 2 |ralk ‘APPLICABLE -
SESSION NUMBER : 10
No Session Outcomes are mapped
‘Active
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
[Binary search Tree a. Creation of BST b. Traversal-In-order, P NOT
4s ty ' 3 [ure [APPLICABLE -
Pre-order, Post-order
[Binary search Tree a. Creation of BST b. Traversal-In-order, Nor
4s u » 3 [ure [APPLICABLE -
re-order, Post-order A
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--- NOT
10 Viva 3 | Talk 'APPLICABLE -
SESSION NUMBER : 11
No Session Outcomes are mapped
‘Teaching Active
Time(min) Topic BTL| Learning Learning
Methods Methods
|-- NOT
45 |AVL Tree-Self Balancing Tree 3 |LTe |APPLICABLE -
NOT
45 |AVL Tree-Self Balancing Tree Tc APPLICABLE -
NOT
10 Viva 2 |Talk |APPLICABLE -
SESSION NUMBER : 12
No Session Outcomes are mapped
‘Teaching- Active
Time(min) Topic BTL| Learning Learning
Methods Methods
NOT
45 \Graphs—a, BFS LTC APPLICABLE -
--- NOT
45 'b. DFS LTC APPLICABLE -
"Nor,
10 Viva 2 |Talk |APPLICABLE -
Skilling Course DELIVERY P!
Skilling|
session ‘Topics/Experiments ‘CO-Mapping
no
1 Develop a program to implement the sorting techniques. a. Insertion Sort cos
2 Develop a program to implement the sorting techniques. b, Shell Sort ‘cos
3 Develop a program to implement the sorting technique. a. Quick Sort ‘cos
4 Develop a program to implement the sorting technique. b. Merge Sort ‘cos
5 Develop a program to implement the sorting technique. SLL ‘cos
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Skilling|
session ‘Topics/Experiments CO-Mapping
no
6 Develop a program to implement the sorting technique. SLL Operations ‘cos
7 List Implementation- Singly Linked List cos
8 List Implementation- Singly Linked List ‘cos
9 Develop a program to implement Doubly Linked List ‘cos
10 __|Develop a program to implement CLL ‘cos
11___|Linked Implementation of — a, Stack \coe
12___|Linked Implementation of — a. Stack(Operations) ‘cos
13, __|Linked Implementation of - a. Queue ‘cos
14___|Linked Implementation of — a. Queue cos
15 __|Stack Applications a. Infix to Postfix Expression Conversion ‘cos
16 __ |b. Postfix Expression Evaluation cos
17___|Hashing~ a. Separate chaining ‘cos
18 |b. Open Addressing \coe
19 __ [Binary search Tree a, Creation of BST ‘cos
20 __ |b. Traversal-In-order, Pre-order, Post-order ‘cos
21 | AVL Tree-Self Balancing Tree - Insertion. cos
22___ | AVL Tree-Self Balancing Tree- Deletion ‘cos
23 |Graphs— a. BFS cos
24 |Graphs-b. DFS ‘cos
Skilling Session wise Teaching - Learning Plan.
SESSION NUMBER : |
No Session Outcomes are mapped
‘Teaching- Active
Time(min) Topic BTL| Learning Learning
Methods Methods
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IDevelop a program to implement the sorting techniques. a, [NOT
50 Insertion Sort Skill Problem a ed APPLICABLE -
-—NOT
40 [Skill Problem-2,3 3 |Lre |APPLICABLE -
NOT
10 Viva 2 | Talk |APPLICABLE -
‘SESSION NUMBER : 2
No Session Outcomes are mapped
‘Active
Time(min) Topic BTL) Learning
Methods
[Develop a program to implement the sorting techaiques. b. Shell Ener
50 sor em tome i techniques. b- 4 |Lre 'APPLICABLE -
--NOT
40 [Skill Problem-2,3 3 |Lre |APPLICABLE -
--NOT
10 Viva 2 | Talk APPLICABLE -
SESSION NUMBER : 3
No Session Outcomes are mapped
Teaching- ‘Active
Time(min) Topic BTL| Learning Learning
Methods Methods
IDevelop a program to implement the sorting technique. a. Quick NOT
50 son ™ 8 techni 3 |LTc |APPLICABLE -
-NOT
40 \Skill Problem-2,3 3 |Lre |APPLICABLE -
-—-NOT
10 Viva 2 | Talk APPLICABLE -
‘SESSION NUMBER : 4
No Session Outcomes are mapped
‘Active
‘Time(min) Topic BTL| Learning Learning
Methods Methods
[Develop a program to implement the sorting technique. b. Merge axon
50 Pa progran ™ is techinig ee)s jure APPLICABLE
‘Sort
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[NOT
40 Skil Problem-2,3 3 |ure [APPLICABLE -
= NOT
10 Viva 2 |ratk ‘APPLICABLE -
SESSION NUMBER : 5
No Session Outcomes are mapped
Teaching- Acti
‘Time(min) Topic BTL Learning
Methods | Methods
“NOT
50 [Develop a program to implement the sorting technique. SLL_ [3 |ETC APPLICABLE -
“NOT
40 Skil Problem-2,3 Lic [APPLICABLE -
= NOT
10 Viva 1 | raik [APPLICABLE -
SESSION NUMBER : 6
No Session Outcomes are mapped
Teaching-
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
[Develop a to implement the sorting technique. SLL. PoNoT
as p a program to implement the sorting technique 3 lere reo ABLE
(Operations a
= NOT
4s Skil Problem-2,3 3 |ure [APPLICABLE -
= NOT
10 Vive 1 |taik ‘APPLICABLE -
SESSION NUMBER : 7
No Session Outcomes are mapped
Teaching- ‘Active
‘Time(min) Topic BTL| Learning | Learning
Methods | Methods
“NOT
4s List Implementation- Singly Linked List s |ure [APPLICABLE -
NOT
4s Skil Problem-2,3 3 |ure [APPLICABLE -
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--NOT
10 ‘Viva 1 | Talk APPLICABLE -
SESSION NUMBER : 8
No Session Outcomes are mapped
“Teaching- Active
‘Time(min) Topic BTL| Learning Learning
Methods Methods
|--- NOT
45 List Implementation- Singly Linked List Tc APPLICABLE -
--NOT
45 ‘Skill Problem-2,3 Tc APPLICABLE -
NOT
10 Viva 2 | Talk 'APPLICABLE -
SESSION NUMBER : 9
No Session Outcomes are mapped
Teaching- ‘Active
‘Time(min) Topic BTL| Learning Learning
Methods Methods
|-- NOT
45 [Develop a program to implement Doubly Linked List LTC APPLICABLE -
NOT
45 ‘Skill Problem-2,3 3 |rTc |APPLICABLE -
NOT
10 Viva 1 | Talk |APPLICABLE -
SESSION NUMBER : 10
No Session Outcomes are mapped
Time(min) Topic BTL| Learning Learning
Methods Methods
|-- NOT
45 [Develop a program to implement CLL 3 |tTe |APPLICABLE -
-NOT
45 ‘Skill Problem-2,3 1 |LTe 'APPLICABLE -
NOT,
10 Viva 1 | Talk APPLICABLE -
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SESSION NUMBER : 11
No Session Outcomes are mapped
saboutblank
“Teaching- ‘Active
‘Time(min) ‘Topic BIL| Learning Learning
Methods ‘Methods
NOT,
4s [Linked Implementation of — a. Stack 3 [ure |APPLICABLE -
|-- NOT
45 ‘Skill Problem-2,3 Tc |APPLICABLE -
---NOT
10 Viva 1 |Tatk APPLICABLE -
SESSION NUMBER : 12
No Session Outcomes are mapped
“Teaching- Active
‘Time(min) ‘Topic BTL| Learning Learning
Methods Methods
-NOT
4s Linked Implementation of - a. Stack(Operations) 3 |ure APPLICABLE -
- NOT
45 ‘Skill Problem-2,3 Tc APPLICABLE -
-NOT
10 Viva 1 {Talk |APPLICABLE -
SESSION NUMBER : 13
No Session Outcomes are mapped
“Teaching- Active
‘Time(min) ‘Topic BTL| Learning Learning
Methods Methods
--NOT
4s Linked Implementation of - a. Queue 3 |ure |APPLICABLE -
- NOT
45 ‘Skill Problem-2,3 3 |ite |APPLICABLE -
- NOT
10 ‘Viva 3 |Talk APPLICABLE -
SESSION NUMBER : 14
No Session
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Outcomes are mapped
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Teaching- Active
‘Time(min) Topic BTL] Learning Learning
Methods ‘Methods
--NOT
45 ‘Linked Implementation of — a. Queue 3 |ure |APPLICABLE -
--- NOT
4s ‘Skill Problem-2,3 3 |ure |APPLICABLE -
|-- NOT
10 Viva 1 |Tatk |APPLICABLE -
‘SESSION NUMBER : 15
No Session Outcomes are mapped
‘Active
Time(min) Topic ‘BTL Learning
Methods
-NOT
4s ‘Stack Applications a. Infix to Postfix Expression Conversion [3 |LTC APPLICABLE -
--- NOT
4s ‘Skill Problems 2,3 3 |LTe APPLICABLE -
NOT
10 Viva 1 |tre APPLICABLE -
‘SESSION NUMBER : 16
No Session Outcomes are mapped
“Teaching- ‘Active
Time(min) Topic BTL| Learning Learning
Methods ‘Methods
-NOT
45 'b. Postfix Expression Evaluation 3 |tre |APPLICABLE -
-—-NOT
45 ‘Skill Problem 2,3 3 |LTe APPLICABLE -
|-- NOT
10 Viva Talk APPLICABLE -
SESSION NUMBER : 17
No Session Outcomes are mapped
‘Active
‘Time(min) ‘Topic BIL| Learning Learning
‘Methods ‘Methods
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-- NOT
45 'Hashing- a, Separate chaining 3 |Lre 'APPLICABLE -
NOT
45 ‘Skill Problems 2,3 3 |ure |APPLICABLE -
--- NOT
10 Viva 3 | Talk |APPLICABLE -
SESSION NUMBER : 18
No Session Outcomes are mapped
‘Active
Time(min) Topic BTL) Learning
Methods
NOT
45 'b. Open Addressing 3 |LTc 'APPLICABLE -
-NOT
4s \Skill Problem 2,3, 3 |Lre |APPLICABLE -
--- NOT
10 Viva 1 | Talk APPLICABLE -
‘SESSION NUMBER : 19
No Session Outcomes are mapped
‘Active
Time(min) Topic BTL} Learning
‘Methods ‘Methods
NOT
45 [Binary search Tree a. Creation of BST 3 |tre |APPLICABLE -
- NOT
45 \Skill problems 2,3 3 |ure |APPLICABLE -
-—NOT
10 Viva 1 |Talk APPLICABLE -
‘SESSION NUMBER : 20
No Session Outcomes are mapped
‘Active
Time(min) Topic BTL} Learning
‘Methods ‘Methods
NOT,
30 ‘Binary search Tree b. Traversal-In-order, Pre-order, Post-order |3_— | LTC APPLICABLE -
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-- NOT
30 \Skill Problem 2,3 3 |Lre 'APPLICABLE -
NOT
30 project review 1 | Talk |APPLICABLE -
--- NOT
10 Viva 2 | Talk |APPLICABLE -
SESSION NUMBER : 21
No Session Outcomes are mapped
‘Active
Time(min) Topic BTL) Learning
Methods
NOT
45 'b. Traversal-In-order, Pre-order, Post-order LTC 'APPLICABLE -
NOT
4s ‘Skill Programs 2,3 3 |tre |APPLICABLE -
--- NOT
10 Viva 1 | Talk APPLICABLE -
‘SESSION NUMBER : 22
No Session Outcomes are mapped
‘Teaching- ‘Active
Time(min) Topic BTL| Learning Learning
‘Methods ‘Methods
-—NOT
45 |AVL Tree-Self Balancing Tree- Deletion 3 |Lre |APPLICABLE -
NOT
45 \Skill Problem 2,3, 3 |Lre |APPLICABLE -
-—NOT
10 Viva 1 |Talk. APPLICABLE -
SESSION NUMBER : 23
No Session Outcomes are mapped
‘Active
Time(min) Topic BIL} Learning
‘Methods ‘Methods
NOT,
45 \Graphs—a. BFS 3 |ure APPLICABLE -
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NOT
45 ‘Skill Programs 2,3 3 |Lre 'APPLICABLE -
NOT
10 Viva 1 (talk |APPLICABLE -
SESSION NUMBER : 24
No Session Outcomes are mapped
Acti
Time(min) Topic BTL) Learning
Methods Methods
--- NOT
30 \Graphs—_b. DFS. Tc APPLICABLE -
--- NOT
30 ‘Skill Problem 1,2 3 |Lre |APPLICABLE -
"NOT,
30 [Project Review 1 Talk APPLICABLE -
-- NOT
10 Viva 1 | Talk APPLICABLE -
WEEKLY HOMEWORK ASSIGNMENTS/ PROBLEM SETS/OPEN ENDEDED PROBLEM-SOLVING EXERCISES ete:
Week
Assignment Assignment] i
Type No Topic
Details
co
COURSE TIME TABLE:
Hour 1 2 3 4
Day [Component|
‘Theory |H-S3,H-S9
Mon!
Tutorial | | Ss Ss
Lab I~ -- - -
Skilling |~ - ~ -
Tue
Theory |H-SS HSS
H-S2
Tutorial | | J |
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U-SiH- 1-81, nm {it
Lab SLIES4H- SIIES4H- S303 831-83 SOUL Sou |
s4 s4 so |s9
Skilling |— | - ~
Theory | an a -- -
Tutorial | — Kf - - & Fe
Wed ie | ie
Lab — S282 |H-S2H-82 [soe |S6.H- | |S8,H-
s6_|s6 s8
Skilling | a — — |HESI HSI s3 [iss [|
Theory | os a -- rs
Tutorial | |. - -
Th =
"Lab - - I - - L |
AE
Skilling H-S4,H-89 [ES4H-So | [HLS6 H-86 ssH- [ssn [|
sv is7
Theory | - | - -~ -
Tutorial | - I | - - - FE
Fri >
™ |Lab - - I - - L |
HSL
Skilling [H-S3,H-S6 |H-S3,H-S6 | S2H-SSH- |H-S4 [HSA
s8
Theory | ~ HSI - - -
Tutorial | - | = - - Fe
Sat
Lab - - I fe - ~ fe Ee
Skilling |H-S2 HS2H-S8 |HSs | an Hs9 |Hs9 [*)
Theory |= = Le = = eR
sun [Seorial [= = EF = =
Tab = ~ = ~ ~
Skilling | = LE = =
REMEDIAL CLASSES:
‘Supplement course handout, which may perhaps include special lectures and discussions that would be planned, and
schedule notified according
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SELF-LEARNING:
Assignments to promote self-learning, survey of contents from multiple sources.
saboutblank
S.no Topics co ALM References/MOOCS:
DELIVERY DETAILS OF CONTENT BEYOND SYLLABUS:
Content beyond syllabus covered (if any) should be delivered to all students that would be planned, and schedule
notified accordingly.
‘Advanced Topics, Additional Reading, Research
S.no papers and any co ALM References/MOOCS,
EVALUATION PLAN:
Evaluation | Evaluation i ‘Assessment | Duration
a Component _|Weishtage/Marks| “SDN | tours) |CO1/CO2| Cos] Co4]cos|Cos
Skill Sem-End | Weightage [8 100 a
End Exam Max Marks [50 50
Semester End Semester |Weightage [24 6 |6 |e (6
ee [Exam ‘Max Marks [100 180 25 |25_ [25 [25
Evaluation fax Mark
Total= 40 % |Lab End Semester|Weightage [8 100 8
Exam ‘Max Marks {50 50
[Ratings on Global |Weightage [2 0 2
Platforms ‘Max Marks [50 - 50
Skilling Weightage [5 5
‘Continuous 100
In Semester |Evaluation Max Marks {50 5
Formative | 14 [Weightage [8 %0 2 2 p 2
Evaluation ‘Max Marks _|50 12.5 [12.5 [12.5 [12.5
Total= 24 % |r ome Assignment |Weightage [4 30 1 i iti
and Textbook [Max Marks [50 : 12.5 [12.5 [12.5 [12.5
‘Continuous Weightage [5 5
Evaluation - Lab 100
Exercise Max Marks |50 50
[Semester in Weightage [12 90 6 |s
Exam-1 Max Marks [50 25 (25
In Semester |Semester in Weightage [12 90 6 |6
Summative |Exam-IT ‘Max Marks _|50 25 [25
Evaluation [Lab In Semester |Weightage | 6 100 6
Total= 36 % | Exam ‘Max Marks [50 50
‘Skill In-Sem Weightage [6 100 6
Exam ‘Max Marks [50 50
ATTENDANCE POLICY:
Every student is expected to be responsible for regularity of his/her attendance in class rooms and laboratories, to
appear in scheduled tests and examinations and fulfill all other tasks assigned to hinv/her in every course
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In every course, student has to maintain a minimum of 85% attendance to be eligible for appearing in Semester end
examination of the course, for cases of medical issues and other unavoidable circumstances the students will be
condoned if their attendance is between 75% to 85% in every course, subjected to submission of medical certificates,
‘medical case file and other needful documental proof to the concerned departments
DETENTION POLICY :
In any course, a student has to maintain a minimum of 85% attendance and In-Semester Examinations to be eligible for
appearing to the Semester End Examination, failing to fulfill these conditions will deem such student to have been
detained in that course.
PLAGIARISM POLICY :
‘Supplement course handout, which may pethaps include special lectures and discussions
(COURSE TEAM MEMBERS, CHAMBER CONSULTATION HOURS AND CHAMBER VENUE DETAILS:
‘Supplement course handout, which may perhaps include special lectures and discussions
Devry | Sections | Chamber | Chamber Siggatre of
Name of Faculty |Component of} of Consultation ‘Timines for each ‘Course
Faculty | Faculty Day (s) ‘ay faculty:
GREKHA L SMA LE - -
GREKHA, P ALB LE - E
GREKHA is SMA [- - : :
Mahesh Babu
L |. - -
Arama
Mahesh Babu
> |. - -
‘Arrama
Mahesh Babu
s - | - -
Arrama
Krishnamurthy
Ramasubramanian
Krishnamurthy |,
Ramasubramanian
Krishnamurthy | i . .
Ramasubramanian
Jayasri R L - - - -
JayastiR P - - - -
Jayasti R s - - -
DAYANIKA P i . .
JARUGUMALLA
Aashig Banu L - | - -
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Aashiq Banu P
Aashiq Banu s
GENERAL INSTRUCTIONS
Students should come prepared for classes and carry the text book(s) or material(s) as prescribed by the Course Faculty
to the class.
NOTICES
‘Most of the notices are available on the LMS platform,
All notices will be communicated through the institution email
All notices concerning the course will be displayed on the respective Notice Boards,
Signature of COURSE COORDINATOR
(Krishnamurthy Ramasubramanian)
Signature of Department Prof. Incharge Academies & Vetting Team Member
Department Of CSE-Honors
HEAD OF DEPARTMED
Approval from: DEAN-ACADEMICS.
(Sign with Office Seal) [object HTMLDivElement]
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