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T TIT33 – Tema Algorithms and O ptimization Organization issues

T TIT33 – Tema Algorithms and O ptimization Organization issues. Jan Maluszynski , IDA, 200 6 http://www.ida.liu.se/~T TIT33 janma @ ida.liu.se Subject: T TIT33. Course Goals. Efficient solving of optimization problems A lgorithm s Basics of algorithms analysis (complexity)

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T TIT33 – Tema Algorithms and O ptimization Organization issues

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  1. TTIT33 – TemaAlgorithms and OptimizationOrganization issues Jan Maluszynski, IDA, 2006 http://www.ida.liu.se/~TTIT33 janma @ ida.liu.se Subject: TTIT33 Jan Maluszynski - HT 2006

  2. Course Goals Efficient solving of optimization problems • Algorithms • Basics of algorithms analysis (complexity) • Abstract Data Types : abstract formulation of commonly used data-processing operations • Data structures: commonly used techniques of representing data in computer memory • Standard solutions for commonly used problems: sorting, searching, selection • Optimization • Combinatorial optimization problems • Their complexity analysis • Classification of such problems and efficient algorithms for their solution Jan Maluszynski - HT 2006

  3. Staff • Jan Maluszynski IDA: • Course leader • Lectures in Algorithms • Kaj Holmberg MAI: • Lectures in Optimization • Labs in Optimization • Fredrik Kuivinen IDA: • Labs in Algorithms /Java • Eva Törnqvist TEMA: • Evaluation of presentation technique at the oral exam • Simin Nadjm-Tehrani IDA: • Terminansvarig • Anne Moe IDA • Course secretary Jan Maluszynski - HT 2006

  4. The components • Algorithms • 7 Lectures • 1 Lab IDA; register inWebReg this week • Optimization • 14 Sessions including lectures and problem solving • 2 Labs MAI • Own studies: 202 hours ! • Base groups • Scenarios (Vinjetter) • Integration Lab: Data Structures in Optimization techniques, solved in base groups Jan Maluszynski - HT 2006

  5. Exams • Written exam • problems on algorithms and on optimization • allowed material: the books at home page • Oral exam • An optimization problem distributed in advance • An algorithm is to be developed (pseudocode) • Individual oral presentation of the solution to 3 teachers; 15 min + discussion Register today for December or January Jan Maluszynski - HT 2006

  6. Scenarios/Vinjetter Published at the homepage • describe situations for using techniques taught in this course • are to be used for discussions in base groups • Scenario 3 is the base for the Integration Lab addressing both algorithms and optimization. Jan Maluszynski - HT 2006

  7. Selected Literature • Algorithms • Goodrich, Tamassia: Data Structures and Algorithms in Java (4th edition), 2005 • Cormen et al.: Introduction to Algorithms (2nd edition), 2001 • Lewis, Denenberg: Data Structures & Their Algorithms, 1991(out of print) • On-line collection of problems and solutions (TDDB57) linked at home page • Optimization • Kaj Holmberg: Kombinatorisk optimiering med linjärprogrammering (kompendium 2005) Jan Maluszynski - HT 2006

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