Course Information Syllabus The course meets in H+ block, from 1:30-2:45 PM on Tuesdays and Thursdays, in Room BP-5. My office hours are Tuesdays from 9:30-11:30 and Thursdays from 9:30-10:30, in Room BP-212. Programming The programming for this course can be done in any language that you choose. Matlab is probably the easiest to pick up if you are not familiar with any other. All Tufts students have access to Matlab in the ITS Computing Center @ Eaton Hall. A free alternative to Matlab is Octave. Other possibilities include using python with numpy/scipy/matplotlib. If you would like to use another option, please discuss this with me.
 Matlab Resources
 Schedule 9/6: Introduction 9/8: One-dimensional optimization, sensitivity analysis 9/13: Multi-dimensional optimization, Lagrange Multipliers, shadow prices; HW1 distributed, HW1 data 9/15: Intro to and plotting in Matlab 9/20: Optimization using Newton's Method and variants; HW2 distributed 9/22: Types of optimization, linear programming 9/27: Linear programming and fair division; HW3 distributed 9/29: Network flows and linear programming 10/4: The simplex algorithm; Midterm Project 1 distributed 10/6: Duality and complementary slackness 10/11: Dual prices, integer programming 10/13: Branch and bound algorithms 10/18: Graph models, max flow and min cut 10/20: Bipartite graphs, matchings, selection problems 10/25: Scheduling problems, critical path method, Gantt charts; Midterm Project 1 due, HW4 distributed 10/27: Finite-state machines, transition diagrams 11/1: Iterations matrices, eigenvectors, power iterations 11/3: Stochastic Matrices, Markov Chains; Midterm Project 2 distributed 11/10: Intro to statistics, central limit theorem 11/15: Monte-Carlo Integration, pseudorandom numbers 11/17: Monte-Carlo Simulation, Strategy 1 Code, Strategy 2 Code 11/22: Binomial and Poisson distributions, HW5 Distributed, Midterm Project 2 due. 11/29: Recurrence Relations and Generating functions, HW6 Distributed 12/1: Logistic Maps and Predator-Prey models 12/6: Logistic Functions and Lotka-Volterra models 12/8: Conservation laws and fluid dynamics 12/13: No class, but final projects due