SCS Curriculum Reinvention Committee
This page contains notes and discussions related to the SCS Curriculum Reinvention Committee.
The content below has gratuitous markup so as to make it obvious how to add more stuff.
To edit this page, you first need to create an account - click the link in the top-right of the page. Then click on the edit tab just about the page headline. Or, you can edit individual sections.
COMP 1405/1406 Redesign
Topic Brainstorming
Add topics here at the end of the section. Please don't remove anything!
- WHAT IS COMPUTER SCIENCE
- problem solving
- algorithms
- abstraction and problem decomposition
- efficiency ??
- PSEUDO-CODE ??
- SEQUENCING INSTRUCTIONS
- top down coding in sequence (e.g., draw a house)
- VARIABLES
- declaring vs. assigning
- memory usage ??
- constants
- examples:
- compute simple math formulas
- interactive input (e.g., use mouse position)
- motion (if doing graphics)
- Numbers
- integers
- floats
- CONDITIONALS
- simple IF/ELSE
- nested IF
- booleans(AND/OR)
- examples:
- make choices based on runtime input
- basic state machine
- edge cases / error checking
- ITERATION
- repeating X times (REPEAT)
- counting (FOR)
- repeating until condition (WHILE)
- nested loops
- examples
- sum/avg/max/min
- counting matches
- MonteCarlo approximation
- loop until user input
- searching (find first match)
- ARRAYS (1D and 2D)
- initializing and memory usage
- simple 1D (sum.avg/max/min)
- insert/remove
- copy/growing array
- Optimization
- e.g., knapsack
- greedy
- Simulation
- virus clearing
- Roomba
- Abstract data types
- Sorting
- Search
- linear
- binary
- exhaustive
- Divide and conquer
- Dynamic programming
- FORMATTING
- string manipulation
- display in columns (i.e., tabbing)
- display dates/times
- Data structures
- lists
- structures
- tuples
- binary trees
- dictionaries
- sets
- stacks, queues
- Complexity analysis
- informal
- OBJECTS
- instance variables
- initialization (constructors)
- shared references
- static vs. instance
- FUNCTIONS and PROCEDURES
- simple computations and return values
- passing parameters
- passing arrays as parameters
- helper methods
- RECURSION (likely 1406 material?)
- inductive definitions of data and associated recursion patterns.
- direct vs. indirect
- tail recursion
- examples:
- math problems (factorial/sum/avg)
- searching mazes
- iterate a non recursive data structure (array)
- iterate a recursive data structure (e.g., tree)
- PERSISTENCE (likely 1406 material?)
- writing files
- reading files
- parsing files
- WINDOWING
- display text output
- get textfield input
- buttons
- design and layout
- handling events
- menus
- dialog boxes
- GRAPHICS
- drawing with lines/shapes
- grabbing/selecting/moving graphical objects
- User interaction
- PROPER CODING STYLE
- encapsulation
- polymorphism
- private/public/protected data
- INHERITANCE
- class hierarchies
- abstract vs. concrete classes ?
- overriding/inheriting methods
- type-casting (needed if JAVA used) ?
- NETWORKING ?? (1406 ... as interesting examples)
- read internet page
- two applications talk over network
- Event-driven programming
- Model-View-Controller (more for 1406)
- Database APIs
- Allow use of key/value stores as used by standard websites
- Testing and debugging
- design vs. implementation errors
- basic test cases, regression testing?
- basic debugger usage
- strategies for identifying and fixing programming problems
- Software licenses
- open source and commercial
- restrictions on reuse
- How to read code
- editing and building software
- basic IDE usage
- commenting, code formatting guidelines
- revision control
- have students grab class code from this, pull updates
- make commits/push to submit?
- Understanding APIs
- basic idea of contract, side effects
- Concurrency/parallel code
- maybe not standard locking but some clean parallel constructs?
- Relative costs of operations
- memory vs. I/O vs. computation
- very basic benchmarking
- main idea: know that you can't predict what is going to be fast in practice w/o tests
- my first wiki entry ever! - djh
Should we copy the MIT 6.00 outline here?
Sub categories?
Yes, we can add sub categories here.
COMP1405 LIST OF TOPICS FOR WEEKLY OUTLINE (Mark's Opinion)
- WHAT IS COMPUTER SCIENCE
- problem solving
- algorithms
- abstraction and problem decomposition
- divide and conquer
- efficiency (just an intro to the ideas behind it)
- PSEUDO-CODE
- SEQUENCING INSTRUCTIONS
- top down coding in sequence (e.g., draw a house)
- VARIABLES
- declaring vs. assigning
- memory usage (how memory is affected)
- constants
- examples:
- compute simple math formulas
- interactive input (e.g., use mouse position)
- motion (if doing graphics)
- Numbers
- integers
- floats
- CONDITIONALS
- simple IF/ELSE
- nested IF
- booleans(AND/OR)
- examples:
- make choices based on runtime input
- basic state machine
- edge cases / error checking
- ITERATION
- repeating X times (REPEAT)
- counting (FOR)
- repeating until condition (WHILE)
- nested loops
- examples
- sum/avg/max/min
- counting matches
- MonteCarlo approximation
- loop until user input
- searching (find first match)
- COMMENTING / CODE FORMATTING GUIDELINES
- ARRAYS (1D and 2D)
- initializing and memory usage
- simple 1D (sum.avg/max/min)
- insert/remove
- copy/growing array
- OBJECTS
- instance variables
- initialization (constructors)
- shared references
- static vs. instance
- FUNCTIONS and PROCEDURES
- simple computations and return values
- passing parameters
- passing arrays as parameters
- helper methods
- EVENT-DRIVEN PROGRAMMING (if using Processing)
- GRAPHICS (if using Processing)
- drawing with lines/shapes
- grabbing/selecting/moving graphical objects
- USER INTERACTION
- RELATIVE COSTS OF OPERATIONS
- memory vs. I/O vs. computation
- very basic benchmarking
- main idea: know that you can't predict what is going to be fast in practice w/o tests
- SORTING
- SEARCH
- linear
- binary
- exhaustive
- SIMULATION
- virus clearing
- Roomba
- HOW TO READ CODE ???
Weekly Outline
Here is a list of the topics that I (Mark) think should be in 1406:
- EDITING AND BUILDING SOFTWARE
- basic IDE usage
- RECURSION
- inductive definitions of data and associated recursion patterns.
- direct vs. indirect
- tail recursion
- examples:
- math problems (factorial/sum/avg)
- searching mazes
- iterate a non recursive data structure (array)
- iterate a recursive data structure (e.g., tree)
- PERSISTENCE
- writing files
- reading files
- parsing files
- WINDOWING
- display text output
- get textfield input
- buttons
- design and layout
- handling events
- menus
- dialog boxes
- EVENT-DRIVEN PROGRAMMING (if not using Processing in 1405)
- MODEL/VIEW/CONTROLLER
- GRAPHICS (if not using Processing in 1405)
- drawing with lines/shapes
- grabbing/selecting/moving graphical objects
- PROPER CODING STYLE
- encapsulation
- polymorphism
- private/public/protected data
- INHERITANCE
- class hierarchies
- abstract vs. concrete classes ?
- overriding/inheriting methods
- type-casting (needed if JAVA used) ?
- NETWORKING
- read internet page
- two applications talk over network
- FORMATTING output nicely
- string manipulation
- display in columns (i.e., tabbing)
- display dates/times
- ABSTRACT DATA TYPES / DATA STRUCTURES
- lists
- structures
- tuples
- binary trees
- dictionaries
- sets
- stacks, queues
- TESTING AND DEBUGGING
- design vs. implementation errors
- basic test cases, regression testing?
- basic debugger usage
- strategies for identifying and fixing programming problems
- OPTIMIZATION
- e.g., knapsack
- greedy
- DYNAMIC PROGRAMMING
Weekly Outline
Here is a list of the topics that I (Mark) don't think are necessary but can be added if time permits:
- UNDERSTANDING APIs
- basic idea of contract, side effects
- DATABASE APIs ???
- Allow use of key/value stores as used by standard websites
- SOFTWARE LICENSES
- open source and commercial
- restrictions on reuse
- REVISION CONTROL
- have students grab class code from this, pull updates
- make commits/push to submit?
- CONCURRENCY/PARALLEL CODE
- maybe not standard locking but some clean parallel constructs?
Sample weekly outline (Fall 2006)
1. Introduction Sept 7-8
- intro to CS - class stuff
2. Algorithms Sept 11-15
- what are they - intro to problem solving - statements - pseudocode
3. Variables Sept 18-22
- concept - identifiers - assignment - expressions, arithmetic
4. Conditionals Sept 25-29
- Decision statements - boolean operators - if / then / else - case / switch - going from problem description to conditional statement
5. Iteration Oct 2-6
- idea of looping - starting / stopping / stepping - loop bodies - top and bottom loops - for loops - while loops - going from problem to loop statements
6. Subprograms Oct 9-13
- idea of modularization - functions and procedures - parameter passing - variable scope - when to modularize (problem solving)
7. Computer architecture Oct 16-20
- basic von Neumann architecture - linear memory organization - possibly midterm post-mortem in this week
8. Data structures 1: Arrays Oct 23-27
- idea of data structures & collections - arrays & linear memory - array operations, initialization - relation to loops - 2D arrays - going from problem to array specification
9. Data structures 2: Structs Oct 30-Nov 3
- idea of user-defined structures - why and when to use - examples
10. Searching Nov 6-10
- a larger problem domain - linear and binary search - 'putting it all together' (arrays, loops, variables, etc) - introduction to algorithm analysis (just the idea that different
algorithms can take different time)
11. Sorting Nov 13-17
- same basic structure as searching week - bubble sort and selection sort
12. Recursion Nov 20-24
- introduction to the idea - base cases & recursive cases - composition steps (returning a value)
13. Review Nov 27-Dec 4
- lab exam postmortem - review for the final
Textbooks
- Sedgewick and Wayne, Introduction to Programming in Java