Data Structures in c Course
What will I learn?
Dzifundise zvakadzama nezve data structures mu C ne course yedu yakarongeka zvakanaka, yakagadzirirwa nyanzvi dzemagetsi. Fungisisa pfungwa dzakakosha senge linked lists, arrays, stacks, nema queues, uchiongorora magadzirirwo akanyanya setsanga dzemiti (trees), hash tables, nema graph. Simudzira hunyanzvi hwako hwekunyora macode ne maitiro akanaka ekunyora magwaro, kuendesa macode, nekutaura zvakajeka mumacomments. Wedzera mashandiro acho kuburikidza nekuongorora kuoma kwenzvimbo nenguva, wodzidza mashandisiro e C anobudirira, kugadzirisa zvikanganiso, nekutonga memory. Shandisa ruzivo rwako nemienzaniso yenyika chaiyo nema case studies, uchiita shuwa kuti wakagadzirira mashandisirwo anoshanda nemabasa e algorithmic.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Dzidza hunyanzvi hwe C code: Nyora optimized, high-performance C programs.
Ongorora zvakaoma: Ongorora kuoma kwenguva nenzvimbo kuti uwedzere mashandiro.
Shandisa data structures: Vaka nekushandisa arrays, lists, stacks, nema queues.
Wedzera algorithms: Simudzira nzira dzekurongedza nekutsvaga kuti uwane mhinduro dzinokurumidza.
Gadzirisa zvikanganiso nekutonga memory: Ziva zvikanganiso nekutonga memory zvinobudirira mu C.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.