Institute of Management, Nirma University - Logo

Curriculum

Pedagogy

Effective and Innovative pedagogy plays an important role in improving the quality of teaching-learning and ensures attainment of learning objectives. The Institute has well-defined policies and internal quality assurance system to achieve quality in teaching-learning process. At the Department level, a well-defined system is in place to design the content and monitor delivery of the same. ICT tools are used extensively to support, enhance, and optimise the teaching and learning experience. Lectures, tutorials and laboratory sessions form the essential components of pedagogy. Emphasis is also on project based learning in the form of minor and major projects, where students work on live problem definitions and research ideas. Industrial visits, a fraction of courses taught by industry experts and internships give students a flavor of the current practices and advancements in the industry.

Assessment

The evaluation process has mainly three components, Continuous Evaluation (CE), Laboratory and Practical Work (LPW), Project Work (PW) and Semester End Examination (SEE). The components may vary depending on the nature of the course. These components effectively lead to the attainment of course outcomes and hence the POs and PSOs.

Course Code Course Name
3EI105CC24 Industrial Instrumentation
3EI106CC24 Process Automation
3EI506CC26 AI for Automation
4FT901CC24 Research Methodology and Seminar
3FT901CC24 Summer Internship
0FT003VA23 Campus to Corporate – II

Department Elective – II with Laboratory

Course Code Course Name
3EI304ME26 Autonomous Robot Control
4EI501ME26 Deep Learning for vision systems
3EI607ME26 Semiconductor Devices and Circuits
NPTEL / SWAYAM Courses
Open Elective – I
Course Code Course Name
3EI103OE26 Programmable Logic Controller
Course Code Course Name
4EI601CC25 Embedded System Design
4FT901CC24 Research Methodology and Seminar
Department Elective – III
Department Elective – IV

Department Elective – III with Laboratory

Course Code Course Name
4EI501ME25 Deep Learning for Vision Systems
4EI101ME25 Nonlinear and Digital Control
4EI102ME25 Fuzzy Control Theory

Department Elective – IV without Laboratory

Course Code Course Name
4EI201ME25 Data Communication and Industrial Networking
4EI103ME25 Power Plant Automation
4EI401ME25 Soft Sensors
4EI602ME25 VLSI Design

Elective Course – II

Course Code Course Name
4FT902CC25 Research Project / Internship
Course Code Course Name
6EI851CC25 Research Methodology and IPR
6ME851CC25 Mobile Robot
6CS401CC25 Machine and Deep Learning
6CS851CC25 Digital Image Processing
Elective – I
Elective – II
6EI891CC25 Minor Project
6EI881CVA25 Communication Skills and Technical Writing

Pool of Elective I

Pool of Elective II

Course Code Course Name
6ME871ME25 Aerial Robotics
6ME872ME25 Underwater Robotics
6ME873ME25 Soft Robotics
Course Code Course Name
7EI891CC26 Major Project Part – I (Full Time)
7EI881VA26 Summer Internship / Value-added course *

 

* 6 weeks duration in the summer break between Semester II and III.

Course Code Course Name
7EI892CC26 Major Project Part – II (Full Time)