M.I.T. Game-Changer: Free Online Education For All. Python Programming Tutorial - 4 - Modules and Functions. Thenewboston's Channel. 1.03_Object Orientation 2 - Relationships. Electrical Engineering and Computer Science | 6.00 Introduction to Computer Science and Programming, Fall 2008. Electrical Engineering and Computer Science | 6.001 Structure and Interpretation of Computer Programs, Spring 2005.
Introduction to Neural Networks. CS-449: Neural Networks Fall 99 Instructor: Genevieve Orr Willamette University Lecture Notes prepared by Genevieve Orr, Nici Schraudolph, and Fred Cummins [Content][Links] Course content Summary Our goal is to introduce students to a powerful class of model, the Neural Network. We then introduce one kind of network in detail: the feedforward network trained by backpropagation of error. Lecture 1: Introduction Lecture 2: Classification Lecture 3: Optimizing Linear Networks Lecture 4: The Backprop Toolbox Lecture 5: Unsupervised Learning Lecture 6: Reinforcement Learning Lecture 7: Advanced Topics [Top] Review for Midterm: Links Tutorials: The Nervous System - a very nice introduction, many pictures Neural Java - a neural network tutorial with Java applets Web Sim - A Java neural network simulator. a book chapter describing the Backpropagation Algorithm (Postscript) A short set of pages showing how a simple backprop net learns to recognize the digits 0-9, with C code Reinforcement Learning - A Tutorial.
9.641 Intro to Neural Networks Video Lectures | Free Online Courses and Video Lectures. Lecture schedule. Chemical Engineering - Biochemical Engineering. Chemistry and Biochemistry - Eukaryotic Gene Expression - basics and benefits. NPTEL PHASE 2 - Courses. Science/AAAS | Special Issue: Synthetic Biology. Imperial College/Courses/Spring2008/Synthetic Biology/Syllabus. Laboratory Fundamentals of Synthetic Biology. From OpenWetWare Syllabus Class Format The Class will meet twice a week, one 2 hour classroom session, and one 3 hour lab session. Problem sets will be assigned weekly for the first eight weeks.
A midterm exam will cover the classroom material and the first several weeks of lab instruction. Grades The final grade will be as follows: 20% Problem Sets 30% Midterm Exam 20% Lab Evaluations 30% Final Project Schedule Introduction - Synthetic Biology: History, current applications and future directions Powerpoint (w/content from Drew Endy) Assignments: Endy Article and Comic Strip The Biology (4 sessions) Cells, DNA, RNA and Protein DNA - information encoding, structure, sequencing and synthesis RNA - encoding, structure, function (RNA Enzymes, RNA Aptamers) Proteins - Crystallography, functions, scaffolds Introductory packet about DNA, RNA, Protein. Create a biobrick out of a sequence (force them to re-optimize a coding region into e. coli and remove a biobrick incompatibility).
Reading List. Synbio 2007. From OpenWetWare General Info Spring 2007 Instructor: Jay Keasling (keasling@berkeley.edu) GSI: Jeffrey Dietrich (jadietrich@gmail.com) Logistics: Lecture/Discussion: 2 hours, 10-12 AM Friday Grading: Literature Review 30% Group Project 60% Class Participation 10% Office hours: contact Jeffrey Dietrich to arrange a meeting Announcements ASSIGNMENT (Due 2/16): email Jeff with your three top choices for topics to lead in literature review group discussion. Tentative Schedule 1/19 Introduction, Basis for Synthetic Biology - Jay Keasling 1/26 Modeling and Design of Synthetic Systems - Adam Arkin Genetic models, stochastic and continuous simulations, adaption of circuit methods to SB. 2/2 Drugs from Bugs-Jay Keasling 2/9 Design of Tumor-Killing Bacteria - J.
Literature Review Assignment Every student will be required to lead one class discussion over selected readings/topics assigned for that week. Group Project Ideas Group projects from 2007 (Presentations and References) a. B. C. D. Policy Approach. Chemistry | 5.95J Teaching College-Level Science and Engineering, Spring 2009 | Readings. Free Online Course Materials | Courses. Free Online Course Materials | Courses. Free Online Course Materials | Courses. Free Online Course Materials | Courses. Free Online Course Materials | Courses. Free Online Course Materials | Courses. Free Online Course Materials | Courses. Free Online Course Materials | Courses.