Short Course Description
Week 1: Introduction to programming and computing as a scientific tool
Full syllabus is to be published
Part 1: Python
Week 1: Getting to know the Python Environment, simple commands
Week 2: Variables and Identifiers, Statements, List Basics
Week 3: Operators, Arithmetic and Precedence, Operators Relational, Logical and Membership, Conditionals
Week 4: Loops, Nested Loops, Functions, Modules
Week 5: List Manipulation, List slicing, List Slicing with Steps, List Exercises
Week 6: Strings, String Methods, Strings Practice, Multidimensional Lists, Dictionaries
Week 7: File I/O, Tuples, Formatting
Week 8: Namespaces and Scope of Variables, Recursion, Error Handling
Part 2: Matlab
Week 9: Quick Conversion from Python: The Matlab environment, Matlab Help, simple commands and calculations, variables, Vectors and Matrices, importing and exporting Data, array calculations
Week 10: Writing scripts in Matlab: Functions, logical arrays, decision branching, loops.
Plotting, graphics, fitting.
Part 3: Final project
Week 11-13: Will include independent learning of additional material
Part 4 : Final exam
Participation in online courses (30%), final project (30%), final exam (40%).