The Best CS Classes at Penn: Insights from a Top Seoer
Greetings, tech enthusiasts! Today, we delve into a treasure trove of information on the top computer science (CS) classes at the University of Pennsylvania. As a seasoned Search Engine Optimization (SEO) professional, I've had the pleasure of sharing tips and insights from various sources, and I'm excited to add my recommendations based on the classes I encountered during my time at Penn.
Foundational Excellence: CIS 121
One class that stands out as pivotal is CIS 121, Theory of Computation, taught by the legendary Professor Rajiv Gandhi. This course serves as a launching pad for many Penn CS majors, being the first exposure to the theoretical side of computer science. Personally, I was on the verge of dropping out because I felt I was not a 'programming prodigy'. However, after taking 121, I completely fell in love with the subject and declared my major. Professor Gandhi's encouragement and the analytical methods taught in 121 transformed me from a programmer to a true computer scientist. It’s the class where you gain insights that pay off in your subsequent courses, such as CIS 160.
Algorithms: The Heart of Computational Thinking
Another gem worth mentioning is CIS 320 Algorithms, a course I took in Spring 2016 with Professor Sanjeev Khanna. Known for its full chalkboard experience, this class challenges you to write down all notes yourself, fostering a deeper understanding of the content. Professor Khanna's lecture style is a joy, combining fascinating content with a delightful sense of humor. The homework is biweekly, making it relatively manageable compared to more rigorous courses like CIS 160. The exams are fun and challenging, but the curve is generous, making it an overall enjoyable experience. CIS 320 is undoubtedly my favorite class at Penn, marking a significant milestone in my academic journey.
Advanced Electives: A Must-Take
For those looking to explore more specialized topics, I highly recommend elective courses taught by faculty at the cutting edge of their fields. For instance, CIS 526 Machine Translation is taught by a true expert and offers an excellent introduction to natural language processing (NLP), machine learning (ML), and innovative techniques like crowdsourcing. This course builds on the foundational topics covered in CIS 121 and CIS 320, extending your understanding of computer science principles.
Research-Focused Courses: Exploring Cutting-Edge Topics
In addition to these core courses, students at Penn can explore research-focused courses, which often cover the latest in computer science. Classes like CIS 331, CIS 552, CIS 500, and CIS 677 offer a glimpse into the latest research and theories in the field. For instance, CIS 331 with Heninger, CIS 552 or 500 with Zdancewic/Weirich/Pierce, and 677 with Khanna provide a deep dive into specific areas of interest. The 700 courses can be riskier, but they have proven rewarding for many students. If you find a topic interesting on the 700 list, it's definitely worth checking out!
Overall, Penn's CS curriculum is brimming with opportunities to explore and grow as a computer scientist. Whether you're diving into the foundational theories of computation or pushing the boundaries of cutting-edge research, there's a class for you. As a former Penn CS major, I hope this insight helps you make the most of your time and aligns with your academic goals.