Available courses

Course Objectives

Students will be able to:

• To understand the fundamentals of networking and different network configurations and models relevant to IoT.

• To provide an overview of IoT, its characteristics, and various applications.

• To understand the role of sensors and actuators in IoT systems, including their types and characteristics.

• To introduce IoT development platforms and communication protocols essential for data transmission.

• To explore real-world IoT applications and the challenges associated with their implementation.

Course Outcomes

• Identify and explain the basic types of networks and configurations like LAN, WAN, MAN, and gateways also compare OSI and TCP/IP layered network models.

• Define IoT and explain its key characteristics and application domains also evaluate different IoT connectivity options.

• Classify and Explain how sensors and actuators interact in an IoT environment.

• Understand development platforms like Arduino and Raspberry Pi also analyze the suitability of protocols for specific IoT applications.

• Evaluate the impact and scalability of IoT systems in different domains and the challenges.

Course Objectives

l   Impart the basic concepts of analog modulation schemes.

II. Describe different types of noise and predict its effect on various analog communication systems.

III. Know the techniques of analog communication and digital communication.


Course Outcomes

  1.  Understand the fundamental concepts and principles of AI ethics. 
  2.  Analyze the ethical challenges posed by AI technologies. 
  3.  Evaluate the impact of AI on societal values, privacy, and human rights. 
  4.  Develop critical thinking skills to navigate complex ethical dilemmas in AI. 
  5.  Explore methods for ensuring fairness, accountability, and transparency in AI systems.

Course Outcomes

Students will be able to

1. Analyze data storage problem and derive an data model expressed

2. To understand entity relationship or relational model

3. Criticize a database design and improve the design using normalization process

4. Understand query processing, optimization and storage structure of database

5 Use the concepts of concurrency control, transaction management, scheduling, recovery while working in a database environment

Students will be able to

● Comprehend the basic concepts of AI and machine learning.

● Interpret the working of self-driving systems.

● Learn how to build different AI projects.

● Apply AI techniques to any application domain.

Course Outcomes

Students will be able to

● Describe the components and infrastructure that form the basis for most computer networks.

● Outline the various real-world networks.

● Learn and compare the various protocols models along with addressing scheme.

● Classify and Illustrate the different techniques for digital data transmissions at physical layer and routing at network layer.

● Analyze and Design simple computer networks.

An electromagnetic field (also EMF or EM field) is a magnetic field produced by moving electrically charged objects. The EMF field can be viewed as the combination of an electric field and a magnetic field. The electric field is produced by stationary charges, and the magnetic field by moving charges (currents); these two are often described as the sources of the field.

Course Code: BEETE802T

This course is affiliated to 8th Semester Electronics & Telecommunication Engineering program.

The broad objective of the course is to understand - 
(i) the architecture and principles of today's computer networks, 
(ii) the protocols and their functionalities, 
(iii) the requirements for the future Internet and its impact on the computer network architecture. 


Course code: BEETE501T

This course is affiliated to 5th Semester Electronics & Telecommunication Engineering.

Following are the objectives of this course:

1. To study transmission line characteristics.  

2. To study the basics of radiating elements and the effect of propagation of radio waves in

the actual environment.  

3. To study the antennas, their principle of operation, analysis, and their applications. 

4. To study the features of Antenna array, Microstrip antenna, and reflector antenna.  

5. To study designing aspects of Antenna.