MIT6_01F09_lec01

MIT6_01F09_lec01 - Introduction to Electrical Engineering...

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6.01: Introduction to EECS 1 Week 1 September 10, 2009 1 6.01: Introduction to EECS I Welcome to 6.01 Week 1 September 10, 2009 Staff Instructors TAs Sarah Finney Tom DiCicco Leslie Kaelbling Ali Mohammad Tomas Lozano-Perez Christina Wright Antonio Torralba Chuan Zhang Plus many undergraduate Lab Assistants (LAs) Course Goals Design and analysis of complex systems via abstraction and mod- ularity Importance of models for analysis and synthesis Dealing with partially specified problems Basic skills in EE and CS Lab: Mobile Robots Lab: Circuits Course Coverage Software (2 weeks, throughout) Linear systems/Control (3 weeks) Circuits/Sensing (3 weeks) Probability/Localization (2 weeks) Search/Planning (2 weeks)
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6.01: Introduction to EECS 1 Week 1 September 10, 2009 Course Mechanics Lecture: Tue 9:30AM (some at different times) Software Lab: Tue 11:00 (sec 1) or 2:00 (sec 2) done individually some problems due in lab; some on Thursday On-line tutor (register via 6.01 web page; different login from the Python tutor) problems Nano-quiz (at the beginning of design lab) easy question from Tuesday lecture or software lab or tutor probs harder question on previous material open book don’t be late!! More Course Mechanics Design lab: Thu 9:30 (sec 1) or 2:00 (sec 2) in 34-501 lab work done with partner (randomly assigned) in-lab check-offs Weekly written questions (individual) Two interviews (individual) Two midterms and a final exam Advanced programming option (separate 3-unit subject) Compositional Systems The most powerful way of building complex systems. What does it mean for a system to be compositional? Set of primitive objects Ways of combining primitive objects to get a new object New objects can be used and combined in all the ways that primitive objects can Some compositional systems Natural Numbers Zero is a natnum If x is a natnum, then x + 1 is a natnum
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MIT6_01F09_lec01 - Introduction to Electrical Engineering...

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