Students will learn different data structures in C# such as Arrays, Lists, Dictionaries, Hash Sets, Stacks and Queues and be challenged with many different problems using those structures.
This course will review the basics of C#, .Net framework and Visual Studio, and present logical problems for students to solve.
Students will learn different data structures in C# such as Arrays, Lists, Dictionaries, Hash Sets, Stacks and Queues and be challenged with many different problems using those structures.
Students will also explore code complexity by writing an algorithm, and then measuring its speed and optimizing it.
MITT provides certificate, post-graduate, and diploma-level technical training for career-oriented post-secondary and secondary students in six clusters of specialization: skilled trades, design and manufacturing technologies, applied business, information and communication technology, health care, and human services.
A hallmark of MITT’s approach is its deep collaboration with industry. Together, we identify skills gaps—both technical and employment skills, develop curriculum to meet them, and create work practicum opportunities that help students build connections with prospective employers while they learn.
The learning environment at MITT supports students’ academic, professional, and personal success. Industry expert instructors teach, mentor, and serve as industry connection points.
Our support staff ensure that the campus community is safe and inviting and that students have access to the information and resources they need to excel in their programs and successfully bridge from classroom to career.
MITT is a leading provider of continuing education opportunities through its Lifelong Learning Institute and offers several unique pathway programs for adult and language learners, including the English Language Institute, ESL for qualifying newcomers to Canada, and one of Manitoba’s largest Adult Learning Centre networks.
Mission
To be an education provider of choice in Manitoba, a catalyst of success for students and industry, and a nimble innovator, driving Manitoba’s economic future.
Vision
To support Manitoba’s economic, social, and technological progress through industry driven and student focused education that advances learners of all backgrounds and identities.
Values
Student Focused
Encouraging the personal and professional growth of individuals and their pathways to employment in a student-centred environment.
Academic Excellence and Innovation
Striving for excellence and high standards in technical education, and encouraging innovation, creativity and entrepreneurship.
Respect and Inclusion
Embracing diversity by providing our students, staff and partners with an inclusive, safe, and respectful environment.
Employee–Centred
Valuing, respecting, and investing in our faculty and employees.
Effective Management
Ensuring fiscal responsibility, accountability, and corporate social responsibility.
Partnerships
Building partnerships with families, communities, industry, business, government, and other educational institutions.
Algorithms course training is offered by Launchpad Learning for adults. Launchpad Learning has a lot to offer. We have many years of experience helping students from Mount Royal University, University of Calgary and SAIT.
Use the Data Structures and Algorithms in Python course and lab to master all the concepts associated with Data Structures algorithms. The lab is cloud-based, device-enabled, and can easily be integrated with an LMS.
This data provides organizations with the information they need to respond quickly to organizational and market changes and opportunities.
Data structures course training is offered by Launchpad Learning for adults. Launchpad Learning has a lot to offer. We have many years of experience helping students from Mount Royal University, University of Calgary and SAIT.
This course aims to provide a thorough understanding of fundamental data structures and their implementation in Python. Students will learn how to work with arrays, linked lists, stacks, queues, trees, and more, as well as gain a foundational knowledge of algorithm analysis.
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