Address
Form of workThe Barowsky School of Business is seeking part-time instructors to teach a courses in Data Science in the Applied Computer Science program during May-July 2024. The courses are eight weeks of remote instruction.
Responsibilities
- Teach a three-unit course at undergraduate level.
- Evaluate and grade student work and provide feedback to students.
- Mentor and advise students on the progress of their projects and coursework.
- Uphold academic performance standards and integrity.
Course Descriptions
- ACS 2511.1 Introduction Data Science Workflow (May 20-July 10, 2024; Remote instruction every Monday and Wednesday from 4:00-6:45 pm)
In this course, students will learn the end-to-end data science workflow process including collecting, cleaning, exploring and visualizing data, followed by pre-processing the data, modeling the data, and evaluating the model. Students will implement the data science workflow process on simple regression and classification models using pandas, matplotib and scikit-learn. Students will utilize statistical techniques and become fluent in the science and art of data exploration and visualization to tell stories and persuade decision makers with data-driven insights. - ACS 3520.1 Deep Learning (May 20-July 10, 2024; Remote instruction every Tuesday and Thursday from 4:00-6:15 pm)
This course provides an introduction to deep learning. Students will learn a series of neural network architectures including the perceptron, fully connected deep neural networks and convolutional neural networks. Students will construct their own simple feed-forward neural network from scratch and learn to train it via backpropagation using gradient descent. The course will cover the use of industry standard libraries to create and fine-tune sophisticated neural network models, and to build end-to-end data processing pipelines to train the models.
Required Qualifications
- Bachelor's degree in a field related to the disciplines mentioned in the above course descriptions or one to three years minimum industry experience working in advanced data science.
- Experience teaching at the undergraduate level
- Google Suite: Docs, Gmail, Calendar, Drive, Sheets, and Slides
- Microsoft Office Suite: Excel, Word, and PowerPoint
- Zoom
- Digital Camera
Preferred Qualifications
- Masters in a field related to the disciplines mentioned in the above course descriptions.
- Previous experience teaching the course subject or related subjects
Additional Position Information
- Open Until Filled
- Must be willing to consent to a background check
Dominican University of California is an independent, international, learner-centered university, offering both undergraduate and graduate programs. The University is located 12 miles north of San Francisco nestled in the foothills Marin County. Dominican has a 1:10 teacher-to-student ratio, an average class size of 16 with a small-town feeling in a park-like campus. We blend interdisciplinary core courses, real-world studies, and small classes with close and supportive academic advising and mentoring.
For More Information Contact:
Adam Braus, Chair, Applied Computer Science Department
Dominican University of California
50 Acacia Ave, San Rafael, CA 94901
Email: Adam.Braus@dominican.edu
Dominican University of California is an Equal Opportunity Employer committed to excellence through diversity, and takes pride in its multicultural environment. We are committed in thought, word, and deed to recruiting and retaining a workforce that values the diversity of its student body. The University actively promotes an institutional culture that practices equity and inclusion. We strongly encourage applications from members of all under-represented groups in higher education.
