Comprehensive Course Structure
The Bachelor of Technology program at Iasscom Fortune Institute of Technology is structured over 8 semesters, each with a carefully curated blend of core subjects, departmental electives, science electives, and practical laboratory components. This structure ensures students build a robust foundation in fundamental sciences before progressing into specialized engineering disciplines.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | MATH101 | Calculus and Differential Equations | 4-0-0-4 | - |
| 1 | CHEM101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | BIO101 | Introduction to Biology | 2-1-0-3 | - |
| 1 | CS101 | Programming Fundamentals | 2-0-2-4 | - |
| 1 | ENG101 | English Communication Skills | 2-0-0-2 | - |
| 1 | HSS101 | Social Sciences for Engineers | 2-0-0-2 | - |
| 2 | MATH201 | Linear Algebra and Probability | 3-0-0-3 | MATH101 |
| 2 | PHYS201 | Electromagnetism and Optics | 3-1-0-4 | PHYS101 |
| 2 | CHEM201 | Organic Chemistry | 3-1-0-4 | CHEM101 |
| 2 | CS201 | Data Structures and Algorithms | 3-0-2-5 | CS101 |
| 2 | MECH201 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | ENG201 | Technical Writing | 2-0-0-2 | ENG101 |
| 3 | MATH301 | Numerical Methods | 3-0-0-3 | MATH201 |
| 3 | PHYS301 | Thermodynamics and Statistical Mechanics | 3-1-0-4 | PHYS201 |
| 3 | CHEM301 | Physical Chemistry | 3-1-0-4 | CHEM201 |
| 3 | CS301 | Database Management Systems | 3-0-2-5 | CS201 |
| 3 | MECH301 | Mechanics of Materials | 3-1-0-4 | MECH201 |
| 3 | CIVIL301 | Structural Analysis | 3-1-0-4 | - |
| 4 | MATH401 | Complex Variables and Transforms | 3-0-0-3 | MATH301 |
| 4 | PHYS401 | Quantum Physics | 3-1-0-4 | PHYS301 |
| 4 | CHEM401 | Chemical Kinetics | 3-1-0-4 | CHEM301 |
| 4 | CS401 | Software Engineering | 3-0-2-5 | CS301 |
| 4 | MECH401 | Mechanical Vibrations | 3-1-0-4 | MECH301 |
| 4 | CIVIL401 | Transportation Engineering | 3-1-0-4 | CIVIL301 |
| 5 | CS501 | Artificial Intelligence | 3-0-2-5 | CS401 |
| 5 | MECH501 | Heat Transfer | 3-1-0-4 | MECH401 |
| 5 | CIVIL501 | Geotechnical Engineering | 3-1-0-4 | CIVIL401 |
| 5 | ELEC501 | Electromagnetic Fields | 3-1-0-4 | - |
| 6 | CS601 | Machine Learning | 3-0-2-5 | CS501 |
| 6 | MECH601 | Control Systems | 3-1-0-4 | MECH501 |
| 6 | CIVIL601 | Environmental Engineering | 3-1-0-4 | CIVIL501 |
| 6 | ELEC601 | Digital Signal Processing | 3-1-0-4 | ELEC501 |
| 7 | CS701 | Advanced Algorithms | 3-0-2-5 | CS601 |
| 7 | MECH701 | Finite Element Analysis | 3-1-0-4 | MECH601 |
| 7 | CIVIL701 | Construction Management | 3-1-0-4 | CIVIL601 |
| 7 | ELEC701 | Embedded Systems | 3-1-0-4 | ELEC601 |
| 8 | CS801 | Capstone Project | 0-0-6-12 | CS701 |
| 8 | MECH801 | Final Year Thesis | 0-0-6-12 | MECH701 |
| 8 | CIVIL801 | Project Management | 0-0-6-12 | CIVIL701 |
| 8 | ELEC801 | Final Project | 0-0-6-12 | ELEC701 |
Detailed Elective Course Descriptions
Departmental electives play a pivotal role in shaping students' specialized expertise. Below are descriptions of advanced departmental courses:
Course: Artificial Intelligence (CS501)
Learning Objectives: This course introduces students to key concepts in AI, including knowledge representation, automated reasoning, machine learning techniques, and natural language processing. Students will implement AI models using Python frameworks like TensorFlow and PyTorch.
Course: Machine Learning (CS601)
Learning Objectives: Students will explore supervised and unsupervised learning algorithms, neural networks, deep learning architectures, and reinforcement learning principles. Practical applications include image recognition, recommendation systems, and predictive analytics.
Course: Data Structures and Algorithms (CS201)
Learning Objectives: This foundational course covers linear and non-linear data structures, algorithmic complexity analysis, sorting and searching techniques, graph algorithms, and dynamic programming. Students will implement solutions using C++ or Java.
Course: Database Management Systems (CS301)
Learning Objectives: Covers relational database design, SQL queries, normalization, transaction management, indexing, query optimization, and advanced topics like NoSQL databases and distributed systems.
Course: Software Engineering (CS401)
Learning Objectives: Students will learn software development lifecycle models, agile methodologies, requirement analysis, system design principles, testing strategies, and project management practices.
Course: Heat Transfer (MECH501)
Learning Objectives: This course focuses on conduction, convection, and radiation heat transfer mechanisms. Students will analyze thermal systems, solve problems involving heat exchangers, and design energy-efficient components.
Course: Control Systems (MECH601)
Learning Objectives: Covers open-loop and closed-loop control systems, transfer functions, block diagram reduction, stability analysis, root locus, and frequency response methods. Students will simulate system behavior using MATLAB/Simulink.
Course: Environmental Engineering (CIVIL601)
Learning Objectives: Focuses on water treatment processes, waste management systems, air pollution control, noise reduction techniques, and sustainable engineering practices in environmental contexts.
Course: Embedded Systems (ELEC701)
Learning Objectives: Introduces microcontroller architecture, embedded C programming, real-time operating systems, sensor integration, communication protocols, and IoT-based applications using ARM Cortex-M series processors.
Course: Finite Element Analysis (MECH701)
Learning Objectives: Students will learn finite element methods for structural, thermal, and fluid dynamics problems. They will use commercial software like ANSYS to solve engineering challenges.
Project-Based Learning Philosophy
The Department of Technology at Iasscom Fortune Institute of Technology strongly advocates for project-based learning as a means of fostering critical thinking, creativity, and practical application of knowledge. Our philosophy centers around experiential education where students work in teams to address real-world engineering problems.
Mini-projects are assigned during the third and fourth semesters, allowing students to apply concepts learned in class to tangible projects. These projects are typically completed within 4–6 weeks and involve iterative design cycles, prototyping, documentation, and presentation skills development.
The final-year thesis or capstone project is a comprehensive endeavor that spans the entire eighth semester. Students select their research topic under faculty mentorship, conduct literature reviews, perform experiments or simulations, analyze results, and present findings to an expert panel. Projects often lead to patents, publications, or industry partnerships.
Project selection involves a structured process where students submit proposals detailing problem statements, objectives, methodology, timeline, and expected outcomes. Faculty members review these proposals and assign mentors based on expertise alignment and student interest.