2.2.2 Computational Methods

(a) Features that make a problem solvable by computational methods.

(b) Problem recognition.

(d) Use of divide and conquer.

(e) Use of abstraction.

(f) Learners should apply their knowledge of: backtracking, data mining, heuristics, performance modelling, pipelining, visualisation to solve problems.

Lesson Presentation

2.2.2 a Features that make a problem computable.ppt

Lesson Presentation 1

Features that make a problem solvable by computational methods.

2.2.2 b,c,d Problem Recognition, Decomposition, Divide and Conquer.ppt

Lesson Presentation 2

(b) Problem recognition.

(d) Use of divide and conquer.

(e) Use of abstraction.

2.2.2 f Backtracking, Data Mining, Heuristics, Pipelining, Visualisation.ppt

Lesson Presentation 3

(f) Learners should apply their knowledge of: backtracking, data mining, heuristics, performance modelling, pipelining, visualisation to solve problems.

Videos

2.2.2a

Features that make a problem solvable by computational methods.

2.2.2c

Problem decomposition.

2.2.2d

Use of divide and conquer.

2.2.2f

backtracking, data mining, heuristics, performance modelling, pipelining, visualisation to solve problems.

Exam Q & As

2.2.2 Computational Methods Qs and As

Q & A

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