TIM-6101

Brookshear, J. G., Brylow, D., & Manasa S. (2019). Computer science: An overview, global edition: Vol. Thirteenth edition. Pearson.
Read Chapter 5: Algorithms.
This chapter is designed to provide you with an understanding of one of the core concepts of computer science, which is Algorithms.
Access your textbook via the Bookshelf tab in the top navigation bar of your course.

Svetlana, P., & Sourav, D. (2019). Instructional pseudocode guide to teach problem-solving. Innovation and Technology in Computer Science Education, 319.
This paper introduces how technical writing techniques and problem-solving strategies can be combined to help students find those questions and develop programming code through writing instructions and documenting their design process.

Morazán, M. T. (2018). Vector programming using structural recursion. Electronic Proceedings in Theoretical Computer Science, 270 (Proc. TFPIE 2017), 1–17.
This article defines the concept of a vector interval and describes how to exploit its recursive structure to design vector processing functions.

Mark Horstman, & ABC, C. (Producers), & (2011). Ant Algorithms. [Video/DVD]. ABC Commercial.
This video is about ant algorithms inspired by the foraging behavior of real ants used to solve computational problems.

Shein, E. (2017). Hacker-proof coding: Software verification helps find the faults, preventing hacks. Communications of the ACM, 60(8), 12–14.
The article discusses coding efforts to avoid hacking by using software verification.