Available courses

Focuses  on  elementary data structures, (including arrays, stacks, queues, and lists), advanced data structures (including trees and graphs),the algorithms used to manipulate these structures, and their application to solving practical engineering problems.

Focuses  on  elementary data structures, (including arrays, stacks, queues, and lists), advanced data structures (including trees and graphs),the algorithms used to manipulate these structures, and their application to solving practical engineering problems.

Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that which makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.

Course Outcomes (COs): 

At the end of the course the student should be able to: 

1.     Apply data pre-processing techniques to clean and qualify data for machine learning applications;

2.     Apply appropriate machine learning technique to extort hidden insights from a data repository;

3.     Utilize data engineering tools for machine learning applications;

4.     Analyze insights from the outcome of data analysis.


Industry Internship Weekly Review Report (Prof. Shruti Maralappanavar)

Industry Internship Weekly Review Report (Prof. Venkatesh Mane)

 Industry Internship Weekly Review Report ( Prof. Sanjay Eligar)

" Internship Project_Microsoft "


At the end of the course the student should be able to: 

1.Justify the need of electronics in mechanical systems.

2.Analyze the characteristics of semiconductor devices and identify them for the given application.  

3.Build circuits to perform signal operations using operational amplifiers.

4.Realize digital systems using logic gates.

5.Explain various types of sensors ,transducers, A/D, D/A converters used in mechatronic systems.

6.Illustrate the mechatronic systems using sample case studies. 


This course deals with various concepts and tools used to manage big data.

Numerical Methods and PDE (A&R)(15EMAB206)

Numerical Methods and PDE (A&R)(15EMAB206)

Numerical Methods and Partial Differential Equations(C) Mech (15EMAB206)

Mini Project - 2

 Course Outcomes (COs):

At the end of the course the student should be able to: 

1.     Create attractive web pages using HTML tags and Cascading style.

2.     Develop event-driven application using JavaScript and DOM.

3.     Apply the knowledge of XML to store and display data using the different styles.

4.     Develop reasonably sophisticated web applications that make use of server side script and DBMS.


Data Structure

Data structures are generally based on the ability of a computer to fetch and store data at any place in its memory, specified by a pointer—a bit string, representing a memory address, that can be itself stored in memory and manipulated by the program. Thus, the array and record data structures are based on computing the addresses of data items with arithmetic operations; while the linked data structures are based on storing addresses of data items within the structure itself. Many data structures use both principles, sometimes combined in non-trivial ways (as in XOR linking).[citation needed]

The implementation of a data structure usually requires writing a set of procedures that create and manipulate instances of that structure. The efficiency of a data structure cannot be analyzed separately from those operations. This observation motivates the theoretical concept of an abstract data type, a data structure that is defined indirectly by the operations that may be performed on it, and the mathematical properties of those operations (including their space and time cost).


The purpose of the Object Oriented Programming lab is to teach to the student the concepts of object oriented paradigm, assimilation of a new programming 

OS and Embedded system

Social innovations are new strategies, concepts, ideas and organizations that aim to meet social needs resulting from working conditions, education, community development, and health. These ideas are created with the goal of extending and strengthening civil society.

Instrumentation & Control Engineering 2018-19 Division B

PLM Fundamental and Technical

Given below is a list of subjects with commonly asked Placement Questions. This will help you to work wonders in the Placement interviews !

 1. Describe the hardware architecture and memory organization of 8051 microcontroller.

 2. Write and test assembly and C language programs with a tradeoff between size and complexity using development tools.

 3. Configure and program the On-chip peripherals of 8051.

 4. Interface external devices with microcontroller to implement real world applications.

 5. Design and develop microcontroller based application by incorporating the concepts of digital circuits.


Analog Electronic Circuits D Div

Analog Electronic Circuits C Div

Analog Electronic Circuits B Div

Analog Electronic Circuits A Div

Circuit Analysis

Communication System Implementation Assignment for 2019-20 batch.

At the end of the course students will be able to:

        i.            Develop logical thinking to solve a given problem

       ii.            Apply appropriate C++ programming constructs to solve a given problem

      iii.            Debug a given C++ program for logical errors.

      iv.            Optimize a given C++ program.

      v.            Develop C++ program for the given application


Operating System and Embedded Systems Design  

Industry Internship Weekly Review Report ( Prof. Saroja Siddamal )

 Internship Weekly Review Report (Prof. R. M. Shet)

Industry Internship Weekly Review Report(Prof. Ramkrishna Joshi )

Industry Internship Weekly Review Report (Prof. P.C. Nissimagoudar)

Industry Internship Weekly Review Report( Prof.Hemantraj Kelagadi )

Industry Internship Weekly Review Report(Prof. Vishal Pattanshetti )

Industry Internship Weekly Review Report ( Prof. Nalini C. Iyer)

Industry Internship Weekly Review Report (Prof. Sujata Kotabagi )

Industry Internship weekly Review (Prof. Gireesh H.M.)

Indutstry Internship Weekly review Report (Prof. Kiran Madenhalli)

Industry Internship Weekly Review Report (Prof. Suhas Shirol )

Industry Internship Weekly Review Report (Proff. Shraddha Hiremath )

Industry Internship Weekly Review report( Prof. Ujwala Patil )

Industry Internship Weekly Review Report ( Prof. Soumya Patil )

Industry Internship Weekly Review Report(Prof. Shrishail Pattanshetti )

Industry Internship Weekly Review Report ( Prof. Suneeta Budihal)

Industry Internship Weekly Review Report (Prof. Rohini Hongal)

Course Outcomes
1.Apply logical thinking to develop an algorithm to solve a problem.
2.Implement a C program using appropriate constructs to solve a given problem.
3.Trace a given C program.
4.Develop test cases for all legitimate inputs for a given problem.
5.Build solutions for online coding challenges.

Course Outcomes (COs):

At the end of the course the student should be able to: 

·         Apply fundamental concepts of database systems to analyze the problem specification and design a             relational model for the same.

·         Formulate relational algebra and SQL solutions to a broad range of data management scenarios.

·         Apply normalization theory to design normalized relational database.

·         Apply concepts of transaction processing and security techniques for database systems.

·         Describe NoSQL and Columnar database system concepts.

           Design and Implement a Database application.

Course Outcomes (COs): At the end of the course the student should be able to:

1. Design combinational and sequential circuits using digital components.

2. Analyze different ways of communication between processor and peripherals.

3. Design memory units for given specifications.

4. Describe the architectures of various processors.

5. Analyze the performance of pipelined architecture in a processor.

Prerequisites: Discrete Mathematical Structures and Data Structures courses.

 

Course Outcomes (COs):

    At the end of the course the student should be able to: 

i.      Explain formal language concepts applied in the compilation process.

ii.     Design a suitable computing machine / parser for a given formal language.

iii.    Explain the semantic analyzer for a given context free grammar of a language construct.

iv.    Build and optimize the intermediate code for given programming construct.

v.     Implement the algorithms required for compiler front end construction.

 


Course Outcomes (COs):

At the end of the course the student should be able to: 


i.      Describe the components of a language processing system and phases of a compiler.

ii.     Apply the automata concepts in the phases of compiler design.

iii.    Construct a suitable computing machine for a given formal language.

iv.    Design a parser for a given formal language.

v.     Build the intermediate code for a given programming construct.

vi.    Implement the algorithms required for constructing phases of a compiler.


cse11

Course Outcomes

  1. Apply logic and rules of inference to draw a conclusion from a set of premises in a finite sequence of steps.
  2. Apply principles of sets operations and functions. 
  3. Apply various operations on sets and represent them using Venn diagram.
  4. Use the Fundamental Counting Principle to determine the number of outcomes in a problem.
  5. Understanding graphs and its applications.
  6. Discuss and differentiate the types of functions, relations and groups.

Course Outcomes (COs):

At the end of the course the student should be able to: 

1. Demonstrate the techniques used to create script for automating the tasks.

2. Apply python programming constructs and data structures to solve the problem

3. Illustrate the process of system administration using suitable script.

 


Course Outcomes (COs):

At the end of the course the student should be able to: 

1. Demonstrate the techniques used to create script for automating the tasks.

2. Apply python programming constructs and data structures to solve the problem

3. Illustrate the process of system administration using suitable script.