MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
This course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed below.
Prerequisite computational thinking knowledge: Algorithms and procedures; data collection, analysis, and representation; abstraction; and problem decomposition
Prerequisite C knowledge: Data types, variables, constants; STEM computations; selection; iteration (looping); arrays; strings; and functions
Throughout this course the computational thinking topics you'll explore are: automation, simulation, parallelization, and algorithm analysis. For the programming topics, you'll continue building on your C knowledge by implementing file input and output in your programs and by exploring pointers in more depth.
Module 1: Learn how to read, write, and append to files. Explore automation
Module 2: Discover the benefits of simulation and parallelization
Module 3: Learn how to perform algorithm analysis to quantify algorithm complexity
Module 4: Explore how to use pointers in more depth
Course 4 of 4 in the Computational Thinking with Beginning C Programming Specialization.
Syllabus
WEEK 1: File IO and Automation
WEEK 2: Simulation and Parallelization
WEEK 3: Algorithm Analysis
WEEK 4: Pointers
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.