144. OCR A Level (H446) SLR24 - 2.2 Backtracking, data mining & heuristics
145. OCR A Level (H446) SLR24 - 2.2 Performance modelling, pipelining & visualisation
142. OCR A Level (H446) SLR24 - 2.2 Divide & conquer
143. OCR A Level (H446) SLR24 - 2.2 Use of abstraction
140. OCR A Level (H446) SLR24 - 2.2 Problem recognition
139. OCR A Level (H446) SLR24 - 2.2 Features of a problem
141. OCR A Level (H446) SLR24 - 2.2 Problem decomposition
135. OCR A Level (H046-H446) SLR23 - 2.2 Global & local variables
160. OCR A Level (H446) SLR26 - 2.3 Measures and methods to determine efficiency of algorithms
122. OCR A Level (H446) SLR19 - 2.1 Caching
146. OCR A Level (H046-H446) SLR25 - 2.3 Analysis &design of algorithms
134. OCR A Level (H446) SLR23 - 2.2 Recursion
37. OCR A Level (H446) SLR7 - 1.2 Object-oriented languages part 2
112. OCR A Level (H046-H446) SLR17 - 1.5 Moral, social & ethical issues part 2
158. OCR A Level (H446) SLR26 - 2.3 A star pathfinding
85. OCR A Level (H046-H446) SLR14 - 1.4 Arrays, records, lists & tuples
121. OCR A Level (H046-H446) SLR19 - 2.1 Determining preconditions
88. OCR A Level (H446) SLR14 - 1.4 Data structures part 2 - Graphs
131. OCR A Level (H446) SLR22 - 2.1 Tackling concurrent problems
136. OCR A Level (H046-H446) SLR23 - 2.2 Functions & procedures
137. OCR A Level (H046-H446) SLR23 - 2.2 Integrated development environments
113. OCR A Level (H046-H446) SLR17 - 1.5 Moral, social & ethical issues part 3
162. OCR A Level (H446) SLR26 - 2.3 Big O notation in practice
157. OCR A Level (H446) SLR26 - 2.3 Dijkstra's shortest path
90. OCR A Level (H446) SLR14 - 1.4 Data structures part 4 - Trees