Define the problem,
Identify the problem, Introduction to Problem Solving, Problem
solving basics, Defining creativity v/s innovation, Find Creative
Solutions using creativity tools
Effective problem solving
approaches, Critical thinking and information analysis,
Brainstorming, Reverse Brainstorming, Imagineering, Mind Mapping, Six
Thinking Hats: A Tool to Strengthen Critical Thinking, Collaboration,
, Communication, and Creativity Skills, Analyzing the situation,
Gathering information, Identifying solution criteria, Decision Making
Methods, Charts and Diagrams, Applying outcome-based thinking
Evaluate and Select
solution :Pro’s and Con’s, Force field analysis,
Feasibility/Capability Analysis, Decision analysis, evaluating
problems, Choosing among alternatives, Qualitative analysis,
discussing qualitative analysis techniques, Establishing objectives,
Assigning weight to objectives in order to make the best decision,
Creating a satisfaction scale to choose between alternatives,
Implementing Decisions , Create an action plan, Break solution into
action steps, Prioritize actions and assign roles (setting priorities
for taking action), Follow-up at milestones
Algorithm & Data
Structures: Introductory Concepts, Algorithm Constructs, OO design:
Abstract Data Types (ADTs)
Basic Data Structures:
Arrays, Stacks, Queues, Linked lists
Trees and hierarchical
orders
Introduction to trees,
Abstract trees, Tree traversals, Binary trees, Search trees, AVL
trees
Searching & sorting
algorithms: Objectives of Searching, The Sequential Search, The
Binary Search, Introduction to sorting, Insertion sort, Bubble sort,
Heap sort, Merge sort, Quick sort
Graph algorithms:
Introduction to graph theory, Graph data structures, Graph traversals
Algorithm design:
Introduction to algorithm design techniques, Greedy algorithms,
Divide-and-conquer algorithms, Dynamic programming, Backtracking
algorithms, Branch-and-bound algorithms, stochastic algorithms,
Analysis of different Algorithms, Complexity, Application of Data
structures
