- 19 reviews
- 19 completed
A good course for basic acoustical and audio engineering. As an electrical engineer (telecommunication) I took it partly as a refresher, actually most parts are very easy (basic of electronic circuits), except the mathematical parts of the acoustical in which I need to read some books. This course has a very smart course's staff. And there's a project to build guitar amplifier. The electronic circuit is provided, and we can order all the components online.
As with the first part, this course is a good and precious algorithm course. In my opinion this is another required course before taking more advanced discrete-optimization course The programming assignments were more challenging than I was expected because standard algorithm wouldn't solve the problem in appropriate time. You'll need to think laterally and following the discussion forum to be able to run your program in reasonable time. Just to use standard algorithm will bring you to run your program in hours even in days due to the huge data samples to be processed. The same as part 1, the keys of success are, (1) watch all the lectures, (2) read the textbooks, (3) write the programming code, (4) follow the discussion forum. That's all.
I completed this course with 98% score. So, if average student like me got that percentage you know this is a good course. When compared to the Princeton Algorithm class, this class more focuses on algorithm design paradigms and relevant mathematical models for analysis, as said in the course info. The key of success, (1) watch all the lectures, (2) read the textbooks (CLRS, DPV, KT, SW), (3) write the programming code, (4) follow the discussion forum. That's all.
This is the most challenging and hardest course I've completed in Coursera =) The freedom in the PAs to choose our own algorithms make it very challenging. Also the uneasy data samples. Have to follow the discussion forum to get ideas to be able to approach the expected results. This course has very unique programming assignments with Leader Board table listing all students' result sorted based on best result. Hard for me because I've never taken any optimization class before, only maybe basic experiences in programming took me to complete this course with only enough points to pass. I'm enrolling again this course in the upcoming 2014 session, hopefully I'll be better after finishing other more basic courses on optimization =D Update 2014 session: Great! I learn a lot more. Really very interesting & precious course. I read a lot of positive feedbacks in the discussion forum. Now the course has a ungraded Set Cover problem, and the web-based assignments visualization, and changes in the warehouse location data. My keywords: branch and bound (knapsack); iterated greedy, CP, cliques (graph coloring); simulated annealing, k-opt, clustering, lin-kernighan heuristic (travelling salesman); MIP, nearest-neighbors, LNS (facility location); MIP with subtour elimination, lazy constraints, nearest-neighbors, greedy as initial solution, local search, cluster-first route-second (vehicle routing). Thank you.
I agree this is another one best course from Coursera. Well structured, with a lot of examples given in the video lecture and PDF slides. You won't need to be rocket scientist to understand this course. Prof. Sriram was answering questions every day in the forum! Wow. I would say the professor knows very well how to teach.
With the famous Princeton professors, and a legend in algorithm Prof Robert Sedgewick, this course is simply one of the best course in Coursera. Very well structured, with very good and comprehensive PDF slides. Very precious course. Though, unfortunately there is no statement of accomplishment or certificate awarded for completing this course due to Princeton policy.
For me this is an interesting and easy course, because I've ever taken another course on Processing, I'm familiar with Photoshop, only sound part is quite challenging for me but finally I found they're easy enough. Finishing this course to honing my artistic taste. The course has 3 parts, basic programming with Processing, basic images with Photoshop/GIMP, and basic sounds. I read in the announcement that the team will change this course to be taught into 3 parts, although I don't know what that means. Update: I see that for now this course has already splitted into smaller 3 courses. This course (first session) has longest duration, 15 weeks. There are peer graded assignments and very easy quizzes. All you need is time to finish this interesting course. And I was enjoying to see the PGA's artistic pieces shared by students in the forum.
One of the best courses from Coursera. Wonderful instructors with their expertise in music and computer science, Ajay Kapur, Ge Wang, Perry R. Cook. Well structured, and good responsiveness by staffs/instructors in the forum (thank you Jen Hutton et.al.). The materials is easy to be understood with examples. Helpful classmates in the forum. Also as non-musician I learnt much more about music. ChucK is just a powerful growing musical programming language. Wonderful peers in the peer-graded assignments, they are so generous that I got all 6 out of 6 (full point) for PGA2 - PGA7 and Final Project. Very recommended course.
An excellent course by a very enthusiastic Princeton's professor! Students come from diverse religion backgrounds, all over the worlds. Professionals, students, meditation practitioners, monks, etc. Very engaging discussion forum, excellent videos and office hours. Very very enlightening.
A good course on image processing with quite comprehensive theories. Weekly homework with programming part. Programming question is supposed to be done with Matlab, but I managed to do coding as well in Python with OpenCV. You can also easily convert Matlab code to open source Octave. (Students get free Matlab, the toolboxes and the license for the duration of the course.) There is a step by step guidance to finish the coding, so IMHO everyone can do it easily. Also good videos and the PDF slides.
Very satisfied with this course. A comprehensive DSP theories. From basic digital signal, Hilbert space/transform, Fourier/DFT/DTFT and the inverse, Z transform, FIR/IIR filter design with pole/zero analysis and transfer function, to... interpolation, A/D D/A, stochastic signal processing, image processing, digital communication. I enjoy learning a lot practical coding with Matlab/Freemat and Python (numpy, scipy.signal), beautiful plotting with Matlab/Pylab/Matplotlib) in both time domain and frequency domain. A lot of numerical examples and signal of the day with the complete code both in Matlab/Freemat version and Python. Very responsive instructor and staffs in the discussion forum. One of hard and precious courses from Coursera.
I would like to say this is best Calculus course on Coursera. A very good refreshment with tons of homeworks and the exams. I think it's a good model to make the homeworks don't count toward scoring, and to provide exams and final exam with only one attempt allowed. The penncalc is a precious online resource.
This course presents a very comprehensive materials on EE. I took it as a refresher (having degree in Electrical Engineering). Very precious video lectures and slides. All homeworks doesn't count toward scoring, but they're amazing. I like it with not many multiple choice. Scoring is determined solely by the final exam.
Finishing this course as a refresher to the basic level I've taken in my almamater (to explain the complex analysis in electric circuits). Interesting and good lecture materials with the videos and PDF slides. Less details, but since I've learnt the same materials before it's easy for most parts. I only had some problems with the theoretical parts, but the formula parts is quite easy to be understood. The most interesting and beautiful parts are for sure the Julia and Mandelbrot fractal sets.
This is a good and very interesting course, it's not an easy course though when you've never learnt about it before. There's optional bonus points for students doing programming assignments, so I took the advantage to get 100% because of the added bonus.
Again I took this course as a refresher, so I completed this course with distinction simply because I've ever taken the same class when in university, and this class uses Python in which I'm very familiar with it. Very good course.
I took this class just as a refresher. The professor is so funny, and I guarantee you won't be sleepy when watching the video lectures! Got 100%, because of there's so many attempts in the quizzes and exams =D
I took this class as a refresher to the same class I learnt when in University, and it has a good materials. Only this course did not use standard Coursera forum, but an external forum in which I was not accustomed using it.
I was taking this course year ago, best course in Coursera! Very well structured, good presented materials, most active staffs/TAs and instructors in the forum. It has a very engaged forum discussion. Even the professor open an email address for all student to send all kind of questions. And all emails are followed up by staffs and instructors himself! Wonderful course.