Design: Hardhik Pinjala
Editor: Siddharth D P
Disclaimer: All the courses were consolidated from a short survey conducted via the google form and the database handled by team Resonect. It is entirely based on the past experiences of undergraduate students.
Choosing courses have become quite a task, and you can find yourself pondering and imploring over a thousand questions. While some search for lite courses, others choose to tread the path of wisdom and placements. For some, it’s sometimes just the mere monologue of engineering that makes them go in search of courses in management, philosophy, sociology and whatnot.
Here’s our little something of an article, well maybe, that could help you narrow down the not-so-cryptic course codes, and let the SEAT algorithm do the rest for you.
When “You are not a freshie anymore” comes true
The third semester is a total changeover. The ultimate transition into your respective department happens and this is when your mind is in a state of strategic dilemma. Which course do I take? Will it be an easy one? What good can the course anyway offer? Well after what seems to be about 101 phone calls to your seniors, you still end up being on the same page.
HS Courses:
The most popularly voted course among the undergrad community in the Humanities department is HS3002, Principles of Economics.
The course has been a conventional go to, due to its course composition and the elementary economy etiquette it offers. It has been termed as a must-take course among the lot.
Course Code: HS3002
Course Name: Principles of Economics
Credit Count: 9
Perks: Placements and Internships
A course that all the UPSC aspirants can look forward to is HS2030, Modern Governments and Comparative Constitutions. The course comprises political ideologies and functioning of constitutions across the globe. For all those who are up for a riveting discussion about ideologies and evolution of governments, then the course is a straight heads up.
Course Code: HS2030
Course Name: Modern Governments and Comparative Constitutions
Credit Count: 9
Perks: UPSC Examinations
Other prominent courses that one can take in the Humanities department are the language courses. HS1090A German, HS1100A French, ED1091 Japanese, HS4571 Introduction to Chinese Language.
Learning the German language has played out as a trump card for some during the Semester Exchange program. French is a cakewalk for those who already know the language, and it is an enjoyable course for the newbies. Introduction to Chinese language has been regarded as a joy ride, filled with complex Chinese characters, flashcards and games.
Another language course that is offered is the Japanese language under the course code ED1091. It encompasses the basics of the Japanese language and also introduces one to the country and culture.
MA Courses:
A community-opined compulsory elective, there are a few elite MA courses that have been upvoted by the student community. MA2040, Probability, Statistics and Stochastic Processes is one of the most popularly taken courses.
It holds out great advantages when it comes to Internships and Placements. The course is also enjoyable as it puts your brain to work, and who doesn’t love brain teasers?
Course Code: MA2040
Course Name: Probability, Statistics and Stochastic Processes
Credit Count: 9
Perks: Placements and Internships
An alternative course that can be taken is EE3110, Probability Foundations for Electrical Engineers. It is a slightly more intricate course than MA2040 and implores into the depths of the theory and proofs of Probability leading up to Machine Learning.
Another popular course down the list is, MA2031, Linear Algebra. For all the Machine-Learning and Data Science enthusiasts out there, this is a must-take course. The course sets forth the mathematical foundation required for Machine Learning and Data Analytics.
Course Code: MA2031
Course Name: Linear Algebra
Credit Count: 9
Perks: Foundations for ML & DA, Internships and Placements
MA2010, Complex Variables and Transform Techniques, a prominent math elective, which offers a good theoretical engineering foundation required for one in mathematics. It’s a straight-S course if you are modest and dedicated.
Course Code: MA2010
Course Name: Complex Variables and Transform Techniques
Credit Count: 9
Perks: Foundations for ML & DA, Internships and Placements
MS Courses:
Another course which has been commonly taken up by the undergraduate student community is MS3510, Fundamentals of Operations Research. It is a prerequisite for the course 3530, Advanced Operations Research.
A course which requires utmost attention and dedication in class, it has been acclaimed as one of the best courses. It is built on linear programming and based on real-life applications and optimization.
Course Code: MS3510
Course Name: Fundamentals of Operations Research
Credit Count: 9
Perks: Exposure to optimization problems, Internships and Placements
MS4610, Introduction to Data Analytics is one among the many pivotal courses the Department of Management Studies offers which is oriented towards Machine Learning and Data Science Enthusiasts. It also comprises a course project and requires your utmost diligence and brain at work.
Course Code: MS4610
Course Name: Introduction to Data Analytics
Credit Count: 12
Perks: Internships and Placements
CH Courses:
CH2061, Computational Techniques is quite similar to the course MM2090, whilst here the major tool used in MATLAB. The course introduces one to various forms of numerical computation and techniques. The course is more about practical implementation and understanding and all those who hate plain texts and books would love this course.
Course Code: CH2061
Course Name: Computational Techniques
Credit Count: 10
Perks: Research advantage
Another Data Science Course that one can take up is CH5019, Mathematical Foundations of Data Science. It could be taken up as an alternative for the MS4610. It introduces students to the fundamentals and tools that one requires to progress in Data Science and Analytics.
Course Code: CH5019
Course Name: Mathematical Foundations of Data Science
Credit Count: 12
Perks: Data Science, Internships
CS Courses:
A course that every Machine Learning enthusiast should look into is the CS5691, Pattern Recognition and Machine Learning. Probability is an advised prerequisite for this course and it is quite a hefty course. Nevertheless, it delves into the mathematical fundamentals behind the Machine Learning Algorithm and is a resourceful course when it comes to projects on Data Science and Machine Learning.
Course Code: CS5691
Course Name: Pattern Recognition and Machine Learning
Credit Count: 15
Perks: Internships and Placements
CS2700, Programming and Data Structures, is a well-established course and is a sure-do course for all the data-science devotees out there. The course has certain prerequisites being a prior up-take of CS1100 and CS1200. The course is composed of both lab and theory. It is yet another course which strengthens your core skills required for Data Science and Analytics.
Course Code: CS2700
Course Name: Programming and Data Structures
Credit Count: 10
Perks: Internships and Placements
ED Courses:
ED5018, Business Excellence and Quality Management is a course which comprises real-life industrial analysis and delivers examples which one can learn from. With the course constituting major lectures based on the existing global competitive environment, product quality and different frameworks of business excellence, it also brings you to interact with different Industries and their functioning. It enhances your skills in the field of business and management.
Course Code: ED5018
Course Name: Business Excellence and Quality Management
Credit Count: 9
Perks: Internships and Placements
ME Courses:
ME6830, Principles of Product Design, is one course that all the product-design enthusiasts can look into. Product Designing is a highly valued skill and also a sought after skill-set.
This course sets you on an onward journey in the path of Product Designing and also comprises real-life applications and examples being delivered. With a hands-on approach and analysis-based study, the course strengthens your skill-set.
Course Code: ME6830
Course Name: Principles of Product Design
Credit Count: 9
Perks: Tools and techniques used in Product Designing
MME Courses:
Heading to the department where they breathe metallurgy and materials, the best sought after course is MM2090, Introduction to Scientific Computing. Opted by other branch students, such as mechanical undergrads, the course is said to have the perfect proportion of tools required for Scientific Computation. Every lecture is a wisdom trip and the course is said to have its own perks like a headstart to multiple programming languages and tools which help you in research.
Course Code: MM2090
Course Name: Introduction to Scientific Computing
Credit Count: 12
Perks: Research Advantage, Multiple Programming Languages and Scientific Tools
BT Courses:
Another course which deals with Data Structures and Algorithms is BT3051, Data Structures and Algorithms for Biology. With python as the primary tool, it focuses on basic tools, algorithms, paradigms and patterns. It is a theory integrated with a lab course and comes handy during research.
Course Code: BT3051
Course Name: Data Structures and Algorithms for Biology
Credit Count: 11
Perks: Research Advantage and Introduction to Scientific tools in Python
And that’s a wrap. These are some of the courses that were voted upon and were ahead in line with the list of courses that could be taken before you graduate. This article was written to give you a heads up (also to avoid deliberation and dilemma) on the courses that one can take accounting one’s interests and also in due diligence of the credits-system.
Phasing into the next semester, a perpetual entity composed of Google Meets and Zoom, make sure you’ve buckled up with all the internet you’ll need. We also warn you, and this is quite an important one – you’ll never know when you’re on mute and when you are not, beware the signs. Godspeed and Google Meet!
We would like to thank the Resonect Team, a Nirmaan Incubated Startup with a vision to help students resonate with their interests and connect people, for providing us with their resourceful, compact CoursePal database for consolidation. Coursepal is a special project built by Resonect, and had been built round the 24-hour constraint to fetch the need of the hour. With more projects and prospects, look out for further updates and future projects from Team Resonect. To get a comprehensive summary of the difficulty and other aspects of the courses, check out their CoursePal website.
