Innovative Software Solutions for Modern Challenges
Experience scope
Categories
Mobile app development Security (cybersecurity and IT security) Software development Artificial intelligence Cloud technologiesSkills
programming languages c++ (programming language) test automation python (programming language) java (programming language) auditor's report software engineering cyber security agile methodology computer scienceThis experience invites industry professionals to collaborate with learners from the TMU Computer Science program, who are well-versed in software engineering, data management, and cybersecurity. These learners are equipped with skills in programming languages such as Python, Java, and C++, and have a strong foundation in agile processes and human-computer interaction. By engaging with real-world projects, learners can apply their classroom knowledge to develop innovative software solutions, enhance cybersecurity measures, or optimize data systems, all within a networked environment.
Learners
- Prototype of a web-based application
- Comprehensive cybersecurity audit report
- Data analysis and visualization dashboard
- Automated testing suite for software applications
- Interactive user interface design
Project Examples
Requirements
Examples of projects may include but are not limited to:
- Develop a prototype for a client-server application using React.js and Node.js
- Create a cybersecurity strategy for a small business, including risk assessment and mitigation plans
- Design a data visualization tool using PowerBI to analyze sales data
- Implement an automated testing framework for a mobile application using Android and Java
- Redesign a user interface for an existing web application to enhance user experience
- Build a machine learning model to predict customer behavior using Python and Kaggle datasets
- Develop a cloud-based solution for data storage and retrieval using Azure
- Create a software tool for startups to manage agile sprints and project timelines
- Consulting, Web Development, App Development, QA, Automation, Generative AI, Software Engineering, Data Analysis
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
What types of technology-driven projects does your company typically focus on (e.g., software development, cybersecurity, AI/ML applications)?
Which technologies and programming languages does your company primarily use in your current projects (e.g., Python, Java, C++, React.js)?
What types of real-world problems do your projects aim to solve, and how do you measure success in these areas (e.g., performance metrics, user feedback)?
How do you ensure that students receive adequate guidance and mentorship throughout the project?
Would students have an opportunity to work directly with senior developers or technical leads for mentorship and feedback?
Are you open to providing feedback on student work in terms of its technical quality and alignment with real-world industry standards?
Projects are chosen by the students and not assigned by the instructor. There is a risk your project may not be chosen.