This past two weeks have been watching lectures, doing quizes, etc. at coursera and it is awesome.
Having one of the foremost experts on a subject doing the lectures is really nice, the lectures tend to be broken into minilectures (5-10 minute chunks that can be watched independently as time allows), there are inline quizes to check comprehension during the lectures, good forum discussions - especially when you have other experts in the field who are auditing the classes. Each class is 6 to 12 weeks long.
Right now I'm signed up for about 100 classes, although I'm only actively participating in 3 since most of them either haven't started yet or started early november and it is too late for me to complete the courses (I've signed up for those ones just to download the notes and lectures and will re sign up for the classes when the are next offered).
I really love watching instruction at 2-3 times the normal speed, and watching a six week course in an afternoon.
Posts: 8287 | Registered: Jan 2001
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Out of curiosity (and personal interest - I'm a professor), what sort of classes are you taking? Are you doing "homework" in addition to the quizzes? Is this based on personal interest or are you trying to build skills for the workplace or academia?
Posts: 2281 | Registered: Mar 2008
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yep doing homework assignments, inline quizzes (check understanding during the lecture), and regular quizzes (test understanding after multiple lectures), and tests. Homework assignments can be from simple 'fill in the blank, multiple choice' to essays, complicated programming assignments, etc.
I'm taking all sorts of classes, see list below. Note that many classes won't be starting till half a year from now.
Mostly personal interest, a few for review of class material I learned 10+ years ago and would like a refresher on, or material that I've taught myself and would like to see if there are any holes in my knowledge, not any plans for usage in academia or workplace currently, but doesn't hurt to get a certificate documenting that I know this stuff.
About 1/4 comp sci/math 1/4 biology/neuroscience 1/4 economics and 1/4 misc.
Networks: Friends, Money, and Bytes; Organizational Analysis; Probabilistic Graphical Models; Computer Architecture; Neural Networks for Machine Learning; Experimental Genome Science; Computational Investing, Part I; Design: Creation of Artifacts in Society; Cryptography I; Heterogeneous Parallel Programming; Drugs and the Brain; Algorithms: Design and Analysis, Part 2; Introduction to Computational Finance and Financial Econometrics; Fundamentals of Personal Financial Planning; Microeconomics Principles; Computing for Data Analysis; Introduction to Genetics and Evolution; Computational Methods for Data Analysis; Game Theory; Scientific Computing; Principles of Economics for Scientists; How Things Work 1; Microeconomics for Managers; Image and video processing: From Mars to Hollywood with a stop at the hospital; Programming Languages; Cryptography II; Data Analysis; Computational Photography; Control of Mobile Robots; Developing Innovative Ideas for New Companies; Energy 101; Introduction to Digital Sound Design; Algorithms: Design and Analysis, Part 1; Artificial Intelligence Planning; Astrobiology and the Search for Extraterrestrial Life; Clinical Problem Solving; Critical Thinking in Global Challenges; Grow to Greatness: Smart Growth for Private Businesses, Part I; Nutrition for Health Promotion and Disease Prevention; Leading Strategic Innovation in Organizations; Analytic Combinatorics, Part I; Digital Signal Processing; The Language of Hollywood: Storytelling, Sound, and Color; Algorithms, Part I; Financial Engineering and Risk Management; Natural Language Processing; Linear and Discrete Optimization; Introductory Human Physiology; Introduction to Music Production; Songwriting; Synapses, Neurons and Brains; Analytic Combinatorics, Part II; Foundations of Business Strategy; Property and Liability: An Introduction to Law and Economics; Algorithms, Part II; Exploring Quantum Physics; Passion Driven Statistics; Surviving Disruptive Technologies;A Beginner's Guide to Irrational Behavior; Medical Neuroscience; Data Management for Clinical Research; General Game Playing; Nutrition, Health, and Lifestyle: Issues and Insights; Introduction to Logic; Computational Neuroscience; Introduction to Data Science; Introduction to Guitar; Introduction to Improvisation; Grow to Greatness: Smart Growth for Private Businesses, Part II; Introduction to Systematic Program Design; Useful Genetics; Coding the Matrix: Linear Algebra through Computer Science Applications; Creative Programming for Digital Media & Mobile Apps; A Look at Nuclear Science and Technology; Social Psychology; Introduction to Pharmacy; Model Thinking; Mathematical Biostatistics Boot Camp; Writing in the Sciences; Analytical Chemistry; Animal Behaviour; Basic Behavioral Neurology; Cardiac Arrest, Hypothermia, and Resuscitation Science; Chemistry: Concept Development and Application; Climate Change; Creative, Serious and Playful Science of Android Apps; Discrete Optimization; Dynamical Modeling Methods for Systems Biology; Economic Issues Food & You; Epigenetic Control of Gene Expression; Exercise Physiology: Understanding the Athlete Within; Fundamentals of Electrical Engineering; Fundamentals of Human Nutrition; Generating the Wealth of Nations; Global Sustainable Energy: Past, Present and Future; Healthcare Innovation and Entrepreneurship; How Music Works; Intermediate Organic Chemistry - Part 1; Intermediate Organic Chemistry - Part 2; Introduction to Biology: DNA to Organisms; Introduction to Engineering Mechanics; Introduction to Systems Biology; Introduction to Tissue Engineering; Introductory Organic Chemistry - Part 1; Learn to Program: Crafting Quality Code; MOS Transistors; Machine Learning; Nanotechnology: The Basics; Network Analysis in Systems Biology; Nutrition and Physical Activity for Health; Principles of Macroeconomics; Software Defined Networking; Sustainable Agricultural / Urban Land Management; The Science of Gastronomy; VLSI CAD: Logic to Layout; An Introduction to Interactive Programming in Python; Automata; Computer Science 101; Computer Vision: The Fundamentals; Fundamentals of Pharmacology; Gamification; Health Policy and the Affordable Care Act; Introduction to Finance; Introductory Organic Chemistry - Part 2; Mathematical Biostatistics Boot Camp; Natural Language Processing; Quantum Mechanics and Quantum Computation; Web Intelligence and Big Data; Machine Learning; Introduction to Databases; Linear and Discrete Optimization; Machine Learning; Pattern-Oriented Software Architectures for Concurrent and Networked Software; Neural Networks for Machine Learning; General Game Playing; Coding the Matrix: Linear Algebra through Computer Science Applications;
quote:How long are the lectures available for download?
it depends on the class. Some classes switch to a 'preview' mode after a class ends, which allows only online viewing; others seem to leave the class online with everything, you just can't get certification; and some make the class material completely inaccessible after a class ends.
Posts: 8287 | Registered: Jan 2001
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