Offer summary
Qualifications:
Must have Python expertise, Master's degree in Computer Science or related.Key responsabilities:
- Teach from a pre-designed curriculum
- Provide quality feedback and support
Capella University offers two learning formats, FlexPath and GuidedPath, to provide a flexible and affordable way for working professionals to earn a degree designed to fit into their life.
Our FlexPath learning format offers asynchronous 12-week courses with self-paced target dates to put learners in control of completing the course within 12 weeks of enrollment. Rolling enrollment allows learners to finish a course early and advance to the next course mid-quarter without having to wait. Faculty help learners progress by providing competency-based evaluations within 48 hours of assessment submissions, excluding weekends and holidays.
Essential Duties & Responsibilities:
Assignments are on an ongoing rolling enrollment basis according to expertise and school needs.
Utilize your professional expertise to provide high quality instruction from a pre-designed curriculum.
Be available within 48 hours (excluding weekends and holidays) by phone, email, and in the courseroom to ensure learners receive quality feedback in a timely manner to support their academic success.
Utilize the online learning platform to enrich the learning experience.
Establish high standards and ensure learners understand how they will be evaluated.
Adhere to University policies and procedures.
Attend faculty meetings and workshops and/or training as required.
Participate in other activities based on university needs.
Job Skills:
Demonstrated knowledge of academic evaluation.
Effectively communicate with all levels of the University.
Proficiency in oral presentation skills, planning and organizing of course objectives.
Excellent oral and written communication skills.
Demonstrated knowledge of academic technology.
Strong computer skills.
Ability to manage potentially stressful situations in a professional and ethical manner.
Work Experience:
Python expertise required.
Proficiency in multiple programming languages including, Python, Java, Swift, Kotlin, JavaScript, HTML, CSS, C++ and C#.
Familiarity with frameworks and libraries relevant to each domain, such as Django or Flask for Python web applications; React, Angular, or Vue.js for front-end web development; TensorFlow or PyTorch for AI; and React Native, Flutter, or native development kits for mobile applications.
Understanding of software development life cycles, version control systems (e.g., Git), testing methodologies, and best practices in coding and documentation.
Knowledge of design patterns, MVC (Model-View-Controller) architecture, RESTful services, and microservices architecture, as applicable to web, mobile, and general application development.
Strong grasp of AI principles, including machine learning, deep learning, natural language processing, and computer vision, along with their applications.
Mathematical foundations for AI, such as linear algebra, calculus, and statistics, plus algorithms specific to machine learning and data processing.
Online higher education teaching experience or field education experience (teaching, liaison, or supervision), strongly preferred - Use of technology to conduct live class sessions with learners and one on one learner advising, as needed.
Demonstrated commitment to service and practice in the field of computer science.
Experience with curriculum, course development and course revisions preferred.
Education:
All degrees must be conferred and from a regionally accredited institution. Copies of required certificates and licenses and unofficial transcripts for all graduate degrees with the institution and conferred degree and date must be attached.
An earned Doctoral degree in Computer Science, Software Engineering or related is strongly preferred.
Candidates with a master’s degree in computer science, software engineering or related, who can demonstrate at least 5 years of experience in the field will be considered.
Certificates, licenses and registrations:
Candidates with certifications preferred, particularly those related to software engineering, DevOps, and Python programming.
Other:
Capella University Adjunct and Part-Time Faculty are compensated based on the number and type of work assignments offered and accepted in any given quarter.
Capella University GuidedPath Format - The pay for teaching a course range from $500 - $4,000. The average is over $3,000.
Capella University FlexPath Format - The pay for teaching a course range from $125 - $4,000, depending on enrollment and particular program. The average is over $3,000.
The pay for doctoral mentoring assignments is typically $400 per mentee (GuidedPath or FlexPath). Doctoral reviewer assignments start at $200.
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.
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