Approved by AICTE, Recognised by DTE Gov. of Maharashtra, Affiliated to University of Mumbai


Mechanical Engineering_PEO/PSO/PO

Program Educational Objectives

PEO No.Program Educational Objective(PEO)
PEO 1To prepare the student with a sound foundation in the mathematical, scientific and engineeringfundamentals.
PEO 2To motivate the student in the art of self-learning and to use modern tools for solving real life problems.
PEO 3To inculcate a professional and ethical attitude, good leadership qualities and commitment to socialresponsibilities in the student’s thought process.
PEO 4To prepare the student for a successful career in Indian and Multinational organizations.

Program Outcomes

PO No.Program Outcome (PO)
PO 1Engineering Knowledge: Engineering graduate will be able to apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2Problem Analysis: Engineering graduate will be able toidentify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3Design/Development of Solutions: Engineering graduate will be able todesign solutions for complex 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.
PO 4Conduct Investigations of Complex Problems: Engineering graduate will be able touse research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5Modern Tool Usage: Engineering graduate will be able tocreate, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO 6The Engineer and Society: Engineering graduate will be able toapply 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.
PO 7Environment and Sustainability: Engineering graduate will be able tounderstand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8Ethics: Engineering graduate will be able to apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9Individual and Team Work: Engineering graduate will be able tofunction effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10Communication: Engineering graduate will be able tocommunicate effectively on complex 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.
PO 11Project Management and Finance: Engineering graduate will be able todemonstrate knowledge and understanding of the 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.
PO 12Life-long Learning: Engineering graduate will be able to 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.

Program Specific Outcomes

PSO No.Program Specific Outcome(PSO)
PSO 1Engineering graduate will be able to solve complex problems in the field of Design, Thermal and Manufacturing.
PSO 2Engineering graduate will be able to analyze and stimulate Mechanical Systems by conducting experimental studies and using software to validate systems.
PSO 3Engineering graduate willbe able to apply technical and management skills to manage different Projects.

Course Outcomes

Class Semester Subject Subject Code Course Outcomes
Applied Mathematics-III
1. Understand the concept of Laplace transform and its application to solve the real integrals in engineering problems.
2. Understand the concept of inverse Laplace transform of various functions and its application in engineering problems. 
3. Expand the periodic function by using the Fourier series for real-life problems and complex engineering problems. 
4. Understand complex variable theory, application of harmonic conjugate to get orthogonal trajectories and analytic functions. 
5. Apply the concept of Correlation and Regression to the engineering problems in data science, machine learning, and AI. 
6. Understand the concepts of probability and expectation for getting the spread of the data and distribution of probabilities.
Discrete Structures and Graph Theory
1. Understand the notion of mathematical thinking, mathematical proofs and to apply them in problem solving. 
2. Ability to reason logically. 
3. Ability to understand relations, functions, Diagraph and Lattice.
4. Ability to understand and apply concepts of graph theory in solving real world problems. 
5. Understand use of groups and codes in Encoding-Decoding.
6. Analyze a complex computing problem and apply principles of discrete mathematics to identify solutions
Data Structure
1. Students will be able to implement Linear and Non-Linear data structures. 
2. Students will be able to handle various operations like searching, insertion, deletion and traversals on various data structures. 
3. Students will be able to explain various data structures, related terminologies and its types. 
4. Students will be able to choose appropriate data structure and apply it to solve problems in various domains. 
5. Students will be able to analyze and Implement appropriate searching techniques for a given problem. 
6. Students will be able to demonstrate the ability to analyze, design, apply and use data structures to solve engineering problems and evaluate their solutions.
Digital Logic & Computer Architecture
1. To learn different number systems and basic structure of computer system.
2. To demonstrate the arithmetic algorithms.
3. To understand the basic concepts of digital components and processor organization.
4. To understand the generation of control signals of computer.
5. To demonstrate the memory organization.
6. To describe the concepts of parallel processing and different Buses.
Computer Graphics
1 Describe the basic concepts of Computer Graphics. 
2 Demonstrate various algorithms for basic graphics primitives. 
3 Apply 2-D geometric transformations on graphical objects. 
4 Use various Clipping algorithms on graphical objects.
5 Explore 3-D geometric transformations, curve representation techniques and projections methods. 
6 Explain visible surface detection techniques and Animation.
Theory Computer Science
1. Understand concepts of Theoretical Computer Science, difference and equivalence of DFA and NFA , languages described by finite automata and regular expressions.
2. Design Context free grammer, pushdown automata to recognize the language.
3. Develop an understanding of computation through Turing Machine.
4. Acquire fundamental understanding of decidability and undecidability


Software Engineering
1. Identify requirements & assess the process models.                             
2. Plan, schedule and track the progress of the projects.                           
3. Design the software projects.                                                                     
4. Do testing of software project.                                                                                   
5. Identify risks, manage the change to assure quality in software projects.
Computer Network
1. Demonstrate the concepts of data communication at physical layer and compare ISO - OSI model with TCP/IP model.
2. Explore different design issues at data link layer.
3. Design the network using IP addressing and sub netting / supernetting schemes.
4. Analyze transport layer protocols and congestion control algorithms.
5. Explore protocols at application laye
Data Warehousing And Mining
1. Understand data warehouse fundamentals and design data warehouse with dimensional
modelling and apply OLAP operations.
2. Understand data mining principles and perform Data preprocessing and Visualization.
3. Identify appropriate data mining algorithms to solve real world problems.
4. Compare and evaluate different data mining techniques like classification, prediction, clustering
and association rule mining
5. Describe complex information and social networks with respect to web mining.
Internet Programming
1. Implement interactive web page(s) using HTML and CSS.
2. Design a responsive web site using JavaScript
3. Demonstrate database connectivity using JDBC
4. Demonstrate Rich Internet Application using Ajax
5. Demonstrate and differentiate various Web Extensions.
6. Demonstrate web application using Reactive Js
Machine Learning
1.Student will be able to acquire fundamental knowledge of developing machine learning models.
2.Student will be able to apply and evaluate an appropriate machine learning model for the given.
3. Students will be able to demonstrate ensemble techniques to combine predictions from different models.
4. Student will be able to demonstrate the dimensionality reduction techniques
Big-Data Analytics
1. Students will be able to understand the building blocks of Big Data Analytics.
2. Students will be able to apply fundamental enabling techniques like Hadoop and MapReduce in solving real world problems.
3. Students will be able to understand different NoSQL systems and how it handles big data.
4. Students will be able to apply advanced techniques for emerging applications like stream analytics.
5. Students will be able to achieve adequate perspectives of big data analytics in various applications like recommender systems, social media applications, etc.
6. Students will be able to apply statistical computing techniques and graphics for analyzing big data.
Natural Language Processing
CSDC 7013
1. Students will be able to describe the field of natural language processing.
2. Students will be able to design language model for word level analysis for text processing.
3. Students will be able to design various POS tagging techniques and parsers.
4. Students will be able to design various POS tagging techniques and parsers.
5. Students will be able to formulate the discourse segmentation and anaphora resolution.
6. Students will be able to apply NLP techniques to design real world NLP applications.
Information Retrieval
1.Students will be able to Define and describe the basic concepts of the Information retrieval system.
2.Students will be able to Design the various modeling techniques for information retrieval systems. 
3. Students will be able to Understand the query structure and various query operations.
4. Students will be able to Analyzing the indexing and scoring operation in information retrieval systems.
5. Students will be able to Perform the evaluation of information retrieval systems. 
6. Students will be able to Perform the evaluation of information retrieval systems. 
Cyber Security and Law
1. Student will able to Understand the concept of cybercrime and its effect on outside world
2. Student will able to Interpret and apply IT law in various legal issues
3. Student will able to Distinguish different aspects of cyber law
4. Student will able to Apply Information Security Standards compliance during software design and development.