PRANVEER SINGH INSTITUTE OF TECHNOLOGY, KANPUR

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

(Artificial Intelligence And Machine Learning)

Even Semester 2024-25

B. Tech.- Second Year

Semester- IV

Lab File
Operating System
(BCS451)

Submitted To : Submitted By :
Faculty Name :_________________ Name :_________________
Designation :_________________ Roll No. :_________________
Section :_________________
 Table of Contents
 Vision and Mission Statements of the Institute

 Vision and Mission Statements of the Department

 PEOs, POs, PSOs of the Department

 Course Objective and Outcomes

 List of Experiments

 Index
 Department Vision Statement
To be a recognized Department of Computer Science & Engineering that produces versatile computer
engineers, capable of adapting to the changing needs of computer and related industry.

Department Mission Statements

The mission of the Department of Computer Science and Engineering is:

i. To provide broad based quality education with knowledge and attitude to succeed in Computer
Science & Engineering careers.

ii. To prepare students for emerging trends in computer and related industry.

iii. To develop competence in students by providing them skills and aptitude to foster culture of
continuous and lifelong learning.

iv. To develop practicing engineers who investigate research, design, and find workable solutions to
complex engineering problems with awareness & concern for society as well as environment.

Program Educational Objectives (PEOs)

i. The graduates will be efficient leading professionals with knowledge of computer science &
engineering discipline that enables them to pursue higher education and/or successful careers in
various domains.

ii. Graduates will possess capability of designing successful innovative solutions to real life problems
that are technically sound, economically viable and socially acceptable.

iii. Graduates will be competent team leaders, effective communicators and capable of working in
multidisciplinary teams following ethical values.

iv. The graduates will be capable of adapting to new technologies/tools and constantly upgrading their
knowledge and skills with an attitude for lifelong learning
 Department Program Outcomes (POs)
The students of Computer Science and Engineering Department will be able:

1. Engineering knowledge: Apply the knowledge of mathematics, science, Computer Science &
Engineering fundamentals, and an engineering specialization to the solution of complex engineering
problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of mathematics,
natural sciences, and Computer Science & Engineering sciences.

3. Design/development of solutions: Design solutions for complex Computer Science &

Engineering problems and design system components or processes that meet the specified needs
with appropriate consideration for the public health and safety, and the cultural, societal, and
environmental considerations.

4. Investigation: Use research-based knowledge and research methods including design of

experiments, analysis and interpretation of data, and synthesis of the information to provide valid
conclusions.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and IT tools including prediction and modelling to complex Computer Science &
Engineering activities with an understanding of the limitations.

6. The Engineering 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 practice in the field of Computer Science and Engineering.

7. Environment and sustainability: Understand the impact of the professional Computer Science
& Engineering solutions in societal and environmental contexts, and demonstrate the knowledge of,
and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms
of the Computer Science & Engineering practice.

9. Individual and team work: Function effectively as an individual, and as a member or leader in
diverse teams, and in multidisciplinary settings.

10. Communication: Communicate effectively on complex Computer Science & Engineering

activities with the engineering community 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.

11. Project management and finance: Demonstrate knowledge and understanding of the Computer
Science & Engineering and 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.

12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in
independent and life-long learning in the broadest context of technological change.
 Department Program Specific Outcomes (PSOs)
The students will be able to:

1. Use algorithms, data structures/management, software design, concepts of programming

languages and computer organization and architecture.

2. Understand the processes that support the delivery and management of information systems
within a specific application environment.

Course Outcomes
*Level of Bloom’s Level to be
*Level of Bloom’s Taxonomy Level to be met
Taxonomy met
L1: Remember 1 L2: Understand 2
L3: Apply 3 L4: Analyze 4
L5: Evaluate 5 L6: Create 6

CO Number Course Outcomes

BCS-451.1 To be able to practice [L3: Apply] basic UNIX Commands
To be able to experiment with [L3: Apply] CPU scheduling algorithms, page
BCS-451.2 replacement and memory management algorithms.
 List of Experiments

S. No. Topic COs

1 Unix commands practice. CO1
2 Implementation of CPU Scheduling Algorithms CO2
a) FCFS b) SJF
3 Implementation of CPU Scheduling Algorithms CO2
a) Priority (Non-Pre-emptive)
b) Multi-level Queue (Level-1 Time Quantum = 2 ms, Level-2 Time
Quantum = 4 ms, Level-3 FCFS)
4 Implementation of resource allocation graph (RAG). CO2
5 Implementation of Banker’s algorithm for Deadlock Avoidance. CO2
6 Conversion of resource allocation graph (RAG) to wait for graph (WFG) CO2
for each type of method used for storing graph.
7 Implementation of System calls. CO2
8 Implementation of contiguous allocation techniques: CO2
a) Worst-Fit b) Best- Fit c) First- Fit
9 Implement the solution for Bounded Buffer (producer-consumer) CO2
problem using inter process communication techniques-Semaphores
10 Implement the solutions for Readers-Writers problem using inter CO2
process communication technique –Semaphore
 INDEX

S Lab Experiment Date of Date of Marks Faculty

No Experiment Submission Signature

10