Birla Institute Of Technology And Science–Pilani (BITS–Pilani) Courses

Basic Engineering Mathematics

185 ratings at Coursera

Master fundamental mathematical concepts from complex numbers to differential equations with practical applications in engineering and real-world problem solving.

• Coursera
• 16 hours 42 minutes
• Self-Paced
• Paid Course

Basic Mathematics

150 ratings at Coursera

Comprehensive introduction to fundamental mathematical concepts, covering complex numbers, trigonometry, matrices, calculus, and differential equations with real-world applications.

• Coursera
• 1 day 3 hours 19 minutes
• Self-Paced
• Free Online Course (Audit)

Introduction to Programming

56 ratings at Coursera

Learn C programming fundamentals, problem-solving techniques, and key concepts like variables, loops, functions, and arrays. Develop skills to write programs for scientific problem-solving and understand computer basics.

• Coursera
• 1 day 16 hours 8 minutes
• Self-Paced
• Paid Course

Basic Electronics

17 ratings at Coursera

Discover fundamental electronic circuits, semiconductor devices, and analysis techniques for designing amplifiers, power systems, and digital switching circuits.

• Coursera
• 1 day 18 hours 38 minutes
• Self-Paced
• Paid Course

Introduction to Computing Systems

13 ratings at Coursera

Gain insights into computer fundamentals, from binary operations and logic gates to processor design and assembly programming, building a strong foundation in computing systems.

• Coursera
• 21 hours 1 minute
• Self-Paced
• Paid Course

Operating Systems

13 ratings at Coursera

Master core principles and advanced mechanisms of operating systems through hands-on process management, memory allocation, synchronization, and file system operations.

• Coursera
• 2 days 8 hours 14 minutes
• Self-Paced
• Paid Course

Introduction to Bioinformatics

10 ratings at Coursera

Discover bioinformatics fundamentals through hands-on analysis of RNA-seq, single-cell genomics, gene associations, and medical text mining using real datasets from NCBI, TCGA, and PubMed.

• Coursera
• 1 day 7 hours 35 minutes
• Self-Paced
• Paid Course

Probability and Statistics

10 ratings at Coursera

Dive into statistical concepts, probability theory, and data analysis techniques to enhance decision-making skills and master real-world applications in various fields.

• Coursera
• 1 day 5 hours
• Self-Paced
• Paid Course

Writing Practice

Enhance academic writing skills through practice in various styles, focusing on structure, argumentation, and effective communication of ideas in scholarly contexts.

• Coursera
• 1 day 13 hours 20 minutes
• Self-Paced
• Paid Course

Automata and Computability

Explore theoretical computation models including finite automata, Turing machines, and complexity theory to understand computational limits and formal language processing.

• Coursera
• 2 days 15 hours
• Self-Paced
• Paid Course

Environmental Studies

Explore Earth's ecosystems, biodiversity, climate change, and sustainable solutions through comprehensive environmental science and practical frameworks for real-world impact.

• Coursera
• 3 days 11 hours 19 minutes
• Self-Paced
• Paid Course

Formal Languages and Applications

Explore formal language theory, automata, and parsing algorithms to build lexical analyzers and language recognition systems for compilers and NLP applications.

• Coursera
• 2 days 13 hours 30 minutes
• Self-Paced
• Paid Course

General Biology

Master cellular mechanisms, genetics, and human physiology while exploring biotechnology applications and scientific inquiry methods in biological sciences.

• Coursera
• 3 days 8 hours 20 minutes
• Self-Paced
• Paid Course

General Physics

Discover fundamental physics principles from Newton's laws to wave optics, mastering mechanics, thermodynamics, and electromagnetic phenomena for scientific problem-solving.

• Coursera
• 2 days 3 minutes
• Self-Paced
• Paid Course

Graphs and Networks

Explore mathematical foundations of graph theory and network analysis, covering connectivity, planarity, algorithms, and real-world applications in AI and data science.

• Coursera
• 1 day 19 hours 43 minutes
• Self-Paced
• Paid Course