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BTECH-ELECTRICALENGINEERINGANDCOMPUTERSCIENCE in General at Indian Institute of Science Education and Research Bhopal
Bhopal, Madhya Pradesh
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About the Specialization
What is General at Indian Institute of Science Education and Research Bhopal Bhopal?
This Electrical Engineering and Computer Science (EECS) program at IISER Bhopal focuses on integrating fundamental principles of electrical engineering with the rapidly evolving field of computer science. It prepares students for a multidisciplinary approach to solve complex engineering challenges, crucial for India''''s growing technology and manufacturing sectors. The curriculum emphasizes both theoretical foundations and practical applications, reflecting the converging demands of modern industry.
Who Should Apply?
This program is ideal for high-achieving fresh graduates with a strong aptitude for mathematics, physics, and problem-solving, typically those who have excelled in competitive examinations like JEE Advanced. It also caters to students aspiring for careers in cutting-edge technology domains such as AI, IoT, robotics, and advanced electronics, seeking a rigorous academic foundation to innovate and lead in the Indian and global tech landscape.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India''''s leading IT companies, core engineering firms, R&D organizations, and startups. Potential roles include Software Engineer, Hardware Design Engineer, Data Scientist, IoT Developer, and Control Systems Engineer, with entry-level salaries typically ranging from INR 6-12 LPA, growing significantly with experience. The holistic curriculum also supports advanced studies or entrepreneurial ventures in the technology sector.
Student Success Practices
Foundation Stage
Master Core STEM Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand Calculus, Linear Algebra, and Physics. These foundational subjects are critical for advanced EECS courses. Utilize online resources like NPTEL lectures for deeper understanding and practice problems from standard textbooks.
Tools & Resources
NPTEL (National Programme on Technology Enhanced Learning), MIT OpenCourseWare, Khan Academy, Standard textbooks
Career Connection
Strong foundations in these areas are essential for excelling in technical interviews and for understanding complex algorithms and system designs in future roles like Data Scientist or Electronics Engineer.
Develop Robust Programming Skills Early- (Semester 1-2)
Beyond classroom assignments, actively participate in coding challenges and build small projects using languages like C/C++ or Python. Focus on understanding data structures and algorithms, which are pivotal for computer science roles. Join coding communities for peer learning.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, GitHub for personal projects
Career Connection
Early proficiency in programming and DSA is a primary criterion for IT and software development roles. It enhances problem-solving abilities crucial for competitive coding and product development.
Engage in Interdisciplinary Discussions and Clubs- (Semester 1-2)
Join academic clubs related to robotics, electronics, or computing. Participate in seminars and workshops to gain exposure to different facets of engineering sciences. Collaborate with peers on small projects to foster teamwork and applied learning.
Tools & Resources
IISER Bhopal''''s technical clubs, Departmental seminars, Online forums like Reddit''''s r/engineeringstudents
Career Connection
Develops a holistic engineering perspective and strengthens soft skills like communication and collaboration, valued in diverse industrial and research environments, especially for team-based roles.
Intermediate Stage
Apply Theoretical Knowledge through Practical Projects- (Semester 3-5)
Seek opportunities for mini-projects in areas like Digital Logic Design, Microcontrollers, or Analog Circuits. Utilize labs effectively and try to implement concepts learned in class. Consider open-source projects or faculty-led small research initiatives.
Tools & Resources
Arduino/Raspberry Pi kits, VLSI design software (e.g., Logisim), Circuit simulation tools (e.g., LTSpice), Faculty research groups
Career Connection
Practical application of knowledge makes a candidate stand out for core engineering roles. It demonstrates problem-solving skills and technical competence, vital for hardware design and embedded systems jobs.
Build a Strong Portfolio with Specialization-Specific Skills- (Semester 3-5)
Identify areas of interest within EECS (e.g., AI/ML, VLSI, Power Systems, Communications). Take relevant electives and focus on building projects or participating in hackathons that showcase these specialized skills. Certifications can supplement learning.
Tools & Resources
Coursera/edX for specialized courses, Kaggle for data science projects, IEEE Student Chapters, LinkedIn Learning
Career Connection
A focused skill set and a portfolio of projects are crucial for securing internships and placements in specialized tech domains. It helps align with industry demands for specific expertise.
Network with Industry Professionals and Alumni- (Semester 3-5)
Attend industry talks, career fairs, and alumni events organized by the institution. Connect with professionals on LinkedIn to understand industry trends and potential career paths. Seek mentorship for career guidance.
Tools & Resources
LinkedIn, Industry conferences/webinars, IISER Bhopal alumni network, Career Services cell
Career Connection
Networking often leads to internship and job opportunities, as well as insights into industry expectations. It helps in making informed career decisions and building professional relationships.
Advanced Stage
Undertake a Comprehensive B.Tech Project/Internship- (Semester 6-8)
Engage deeply in your B.Tech project (Parts 1 & 2), aiming for a robust solution or novel research. Prioritize impactful internships that align with your career goals, preferably in core companies or R&D departments. Seek to publish or present your work.
Tools & Resources
Research papers databases (IEEE Xplore, ACM Digital Library), Industry mentors, Project management tools, Departmental labs
Career Connection
A strong final year project and relevant internships are often the deciding factors for placements. They demonstrate research capabilities, practical skills, and commitment to a specialized area.
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Systematically prepare for aptitude tests, technical interviews (covering DSA, OS, DBMS, Networks, EE fundamentals), and HR rounds. Participate in mock interview sessions and group discussions. Review core subject concepts thoroughly.
Tools & Resources
Company-specific interview guides, Placement training workshops, Online coding platforms for interview prep, Peer groups for mock GDs
Career Connection
Ensures readiness for the competitive campus placement season, significantly increasing the chances of securing desirable job offers from top companies in India.
Cultivate Leadership and Professional Ethics- (Semester 6-8)
Take on leadership roles in student organizations or project teams. Develop an understanding of professional ethics, intellectual property, and responsible technological innovation. Focus on effective technical documentation and presentation skills.
Tools & Resources
IEEE Code of Ethics, Leadership workshops, Technical writing guides, Public speaking clubs
Career Connection
These skills are essential for career progression into leadership and management roles. A strong ethical foundation is crucial for responsible engineers in any industry, especially in the Indian context.
Program Structure and Curriculum
Eligibility:
- Admission based on JEE Advanced rank. Candidates must have passed Class 12th (or equivalent) with Physics, Chemistry, and Mathematics (PCM) and secured a minimum of 60% marks or equivalent grade in aggregate.
Duration: 8 semesters / 4 years
Credits: 179 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Calculus | Core | 4 | Functions and Limits, Derivatives and their Applications, Integrals and their Applications, Sequences and Series, Multivariable Calculus |
| PH101 | Physics I | Core | 4 | Special Relativity, Wave-Particle Duality, Schrödinger Equation, Atomic Structure, Quantum Statistics |
| ES101 | Engineering Design and Graphics | Core | 3 | Engineering Drawing Conventions, Orthographic Projections, Sectional and Auxiliary Views, Isometric Projections, Computer-Aided Drafting (CAD), Introduction to Design Process |
| HS101 | English | Core | 3 | Grammar and Syntax, Reading Comprehension, Academic Essay Writing, Public Speaking Skills, Introduction to Technical Communication |
| BC101 | Basic Chemistry | Core | 4 | Atomic Structure and Bonding, Chemical Thermodynamics, Electrochemistry Principles, Organic Reaction Mechanisms, Spectroscopic Techniques |
| ID101 | Introduction to Engineering Sciences | Core | 2 | Overview of Engineering Disciplines, Problem-Solving Methodologies, Engineering Ethics and Society, Case Studies in Engineering Innovation |
| PH102 | Physics Lab I | Lab | 2 | Experimental Mechanics, Optics Experiments, Basic Electrical Measurements, Data Analysis and Error Estimation |
| BC102 | Basic Chemistry Lab | Lab | 2 | Volumetric and Gravimetric Analysis, Synthesis of Inorganic Compounds, pH and Buffer Solutions, Spectrophotometry Basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Linear Algebra | Core | 4 | Vector Spaces and Subspaces, Linear Transformations, Matrices and Determinants, Eigenvalues and Eigenvectors, Inner Product Spaces and Orthogonality |
| PH103 | Physics II | Core | 4 | Electrostatics and Magnetostatics, Gauss''''s and Ampere''''s Laws, Faraday''''s Law of Induction, Maxwell''''s Equations, Electromagnetic Waves and Optics |
| ES102 | Basic Electrical Engineering | Core | 4 | DC and AC Circuits Analysis, Three-Phase Systems, Transformers and Induction Motors, DC Machines and Synchronous Machines, Basic Power Electronics |
| ES103 | Introduction to Programming | Core | 4 | Problem-Solving and Algorithms, C/C++ Fundamentals, Data Types, Operators, Control Structures, Functions and Pointers, Object-Oriented Programming Concepts |
| HS102 | Philosophy | Core | 2 | Introduction to Western Philosophy, Ethics and Moral Philosophy, Epistemology and Metaphysics, Logic and Critical Thinking |
| ES104 | Manufacturing Techniques | Core | 3 | Machining Processes, Welding and Joining, Forming and Casting, Additive Manufacturing, Metrology and Quality Control |
| ES105 | Basic Electrical Engineering Lab | Lab | 2 | Verification of Network Theorems, AC Circuit Analysis, Transformer Characteristics, Diode and Transistor Characteristics |
| ES106 | Introduction to Programming Lab | Lab | 2 | C/C++ Programming Exercises, Conditional Statements and Loops, Functions and Arrays Implementation, Basic Object-Oriented Concepts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Differential Equations | Core | 4 | First and Second Order ODEs, Systems of Linear ODEs, Laplace Transforms, Fourier Series and Transforms, Partial Differential Equations |
| ES201 | Engineering Mechanics | Core | 4 | Statics of Particles and Rigid Bodies, Equilibrium of Systems, Dynamics of Particles, Kinematics and Kinetics, Work-Energy and Impulse-Momentum Principles |
| ES202 | Thermodynamics | Core | 4 | First Law of Thermodynamics, Second Law of Thermodynamics and Entropy, Properties of Pure Substances, Power and Refrigeration Cycles, Gas Mixtures and Psychrometry |
| EECS201 | Data Structures and Algorithms | Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees, Heaps, Hash Tables, Graph Algorithms, Sorting and Searching Algorithms, Time and Space Complexity Analysis |
| EECS202 | Digital Logic Design | Core | 4 | Number Systems and Boolean Algebra, Logic Gates and K-Maps, Combinational Logic Circuits, Sequential Logic Circuits (Flip-flops, Counters), Finite State Machines, Memory and Programmable Logic Devices |
| HS20X | Humanities Elective I | Elective | 2 | Literature and Society, Historical Perspectives, Sociology and Culture, Introduction to Psychology |
| ES203 | Engineering Mechanics Lab | Lab | 2 | Friction and Simple Machines, Analysis of Truss and Beams, Moment of Inertia, Dynamics of Vibrations and Impact |
| ES204 | Thermodynamics Lab | Lab | 2 | Performance of IC Engines, Refrigeration System Testing, Heat Exchanger Analysis, Psychrometric Chart Applications |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS203 | Signals and Systems | Core | 4 | Continuous and Discrete-Time Signals, Linear Time-Invariant Systems, Fourier Series and Fourier Transform, Laplace Transform, Z-Transform and Discrete-Time Systems |
| EECS204 | Microprocessors and Microcontrollers | Core | 4 | 8085/8086 Microprocessor Architecture, Assembly Language Programming, Memory and I/O Interfacing, Microcontroller Basics (e.g., PIC/AVR), Embedded System Design Fundamentals |
| EECS205 | Analog Electronic Circuits | Core | 4 | Diode Circuits and Rectifiers, Bipolar Junction Transistors (BJTs), MOS Field-Effect Transistors (MOSFETs), Operational Amplifiers (Op-Amps), Feedback Amplifiers and Oscillators |
| MA202 | Probability and Statistics | Core | 4 | Axioms of Probability, Random Variables and Distributions, Joint and Conditional Probability, Hypothesis Testing and Confidence Intervals, Regression and Correlation Analysis |
| HS20X | Humanities Elective II | Elective | 2 | Indian Culture and Heritage, Economics Principles, Environmental Studies, Introduction to Philosophy of Science |
| ES205 | Materials Science | Core | 3 | Crystal Structures and Defects, Mechanical Properties of Materials, Phase Diagrams and Transformations, Electrical and Magnetic Properties, Optical Properties and Smart Materials |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS301 | Communication Systems | Core | 4 | Analog Modulation (AM, FM, PM), Digital Modulation (ASK, FSK, PSK), Noise in Communication Systems, Source and Channel Coding, Multiple Access Techniques (TDMA, FDMA, CDMA) |
| EECS302 | Power Systems | Core | 4 | Power Generation Technologies, Transmission Lines and Distribution Systems, Load Flow Analysis, Fault Analysis and Protection, Grid Operation and Control |
| EECS303 | Computer Architecture | Core | 4 | Instruction Set Architectures (ISA), CPU Datapath and Control Unit, Pipelining and Parallel Processing, Memory Hierarchy (Cache, Virtual Memory), I/O Systems and Interfacing |
| EECS304 | Control Systems | Core | 4 | Open Loop and Closed Loop Systems, Transfer Functions and Block Diagrams, Stability Analysis (Routh-Hurwitz, Root Locus), Frequency Response (Bode Plots, Nyquist Plots), PID Controllers and Compensation Techniques |
| MA301 | Complex Analysis | Core | 4 | Complex Numbers and Functions, Analytic Functions and Cauchy-Riemann Equations, Complex Integration and Cauchy''''s Theorem, Series Expansions (Taylor and Laurent), Residue Theorem and Conformal Mappings |
| EECS ELC1 | EECS Elective I | Elective | 4 | Advanced topics in Electrical Engineering, Advanced topics in Computer Science, Emerging technologies in EECS, Interdisciplinary applications of EECS |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS305 | Electromagnetics | Core | 4 | Electrostatics and Boundary Value Problems, Magnetostatics and Magnetic Forces, Maxwell''''s Equations, Electromagnetic Wave Propagation, Transmission Lines and Waveguides, Antennas and Radiation |
| EECS306 | Operating Systems | Core | 4 | Process Management and Scheduling, Inter-Process Communication and Synchronization, Deadlocks and Concurrency, Memory Management (Paging, Segmentation), File Systems and I/O Management |
| EECS307 | Machine Learning | Core | 4 | Introduction to Supervised Learning, Unsupervised Learning Techniques, Reinforcement Learning Basics, Neural Networks and Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning |
| HS30X | Humanities Elective III | Elective | 2 | Sociology of Technology, Environmental Ethics, Introduction to Linguistics, Contemporary Indian Literature |
| EECS ELC2 | EECS Elective II | Elective | 4 | Specialized topics in Electrical Engineering, Specialized topics in Computer Science, Advanced programming paradigms, Digital signal processing applications |
| EECS ELC3 | EECS Elective III | Elective | 4 | Selected advanced areas in EECS, Research methodologies in EECS, Industry-relevant skills and tools, Frontier topics in artificial intelligence |
| EECS491 | EECS Project Part 1 | Project | 3 | Problem Identification and Literature Review, Defining Project Objectives and Scope, Methodology and Experimental Design, Initial Prototyping and Data Collection, Project Planning and Reporting |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS ELC4 | EECS Elective IV | Elective | 4 | Specialized topics in Electrical Engineering, Specialized topics in Computer Science, Advanced network security, Renewable energy systems |
| EECS ELC5 | EECS Elective V | Elective | 4 | Advanced control systems design, Computer vision and image processing, Power electronics applications, Cloud computing and virtualization |
| EECS ELC6 | EECS Elective VI | Elective | 4 | VLSI design and fabrication, Natural Language Processing, Robotics and Automation, Wireless Communication Networks |
| EECS ELC7 | EECS Elective VII | Elective | 4 | Quantum Computing, Cyber-Physical Systems, Deep Learning Architectures, Smart Grid Technologies |
| HS30X | Humanities Elective IV | Elective | 2 | Entrepreneurship and Innovation, Public Policy and Governance, Critical Thinking and Argumentation, Arts and Aesthetics |
| OE1 | Open Elective I | Elective | 3 | Interdisciplinary topics from other departments, Skill-based courses, Societal impact of science and technology, Environmental sustainability |
| EECS492 | EECS Project Part 2 | Project | 3 | System Implementation and Development, Experimental Validation and Testing, Data Analysis and Interpretation, Result Discussion and Conclusion, Technical Report Writing and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EECS ELC8 | EECS Elective VIII | Elective | 4 | Advanced research topics in EECS, Industry-specific case studies, Professional practices in engineering, Ethics in computing and engineering |
| EECS ELC9 | EECS Elective IX | Elective | 4 | Emerging trends in AI and Data Science, Advanced robotics and automation, Optical communication systems, Cyber security advanced topics |
| OE2 | Open Elective II | Elective | 2 | Management and leadership skills, Financial literacy for engineers, Cross-cultural communication, Innovation and intellectual property |
