OM 613: Descriptive Analytics & OM 615: Advanced Predictive Analytics - Position: Lecturer - Academic Year
- Semester: Spring 2025
- Day/Time: Tuesdays and Thursdays from March 24, 2025 to May 29, 2025. Time TBD.
- Modality: In-person
- College: CoBA - College of Business Administration
- Department: Operations and Supply Chain Management
The Department of Operations and Supply Chain Management at California State University San Marcos seeks a part-time lecturer for Spring 2025 to teach OM 613: Descriptive Analytics and OM 615: Advanced Predictive Analytics. OM 613 and OM 615 are the first and second courses in a three-part series covering descriptive, predictive and prescriptive analytics.
Course Descriptions OM 613: Descriptive Analytics
This course is the first course in a three-part series covering descriptive, predictive and prescriptive analytics. This introductory course focuses on descriptive analytics, which uses historical data to generate insights and prepare for further analysis. The course covers data warehousing, business reporting, and visual analytics, including subjects such as data query, descriptive statistics, data visualization, dashboard design, and descriptive data mining. Students will implement these techniques using R, a free statistical software. By the end of the course, students will gain an understanding of business analytics, data warehousing, and descriptive analytics tools, and apply these concepts to real-world scenarios, including dashboard design and visual analytics.
OM 615: Advanced Predictive Analytics
This course is the second course in a three-part series covering descriptive, predictive and prescriptive analytics. The course introduces students to essential business analytics concepts and tools used across various industries, focusing on predictive analytics techniques that use past data to forecast future trends and assess variable impacts. The course covers topics such as data mining, predictive modeling, classification, clustering, association, artificial neural networks, and an introduction to machine learning. Students will utilize R, a free statistical software, for implementing analytics techniques. By the end of the course, students will understand predictive modeling, supervised and unsupervised learning, and be able to apply these skills to real-world problems through hands-on projects.
Minimum qualifications: - A master's degree in the area of instruction or a closely related field
- Per the California State University’s Out-of-State Employment Policy, the CSU is prohibited from hiring employees to perform CSU-related work outside California. Working in the State of California is a condition of employment.
Preferred qualifications: - Teaching Experience in Business Analytics areas
- Ability to communicate effectively with an ethnically and culturally diverse campus community
- Preference will be given to applicants with demonstrated commitment to diversity, inclusivity, and/or intercultural competence with diverse groups in relation to teaching.
Salary commensurate with degree level and experience - Anticipated Hiring Salary Range: $5,507 - $6,677 per full-time month
- CSU Classification Salary Range: $5,507 - $6,677 per full-time month
Application: To apply, please prepare to submit the following:
- Your completed faculty application
- Curriculum Vitae (uploaded)
- Contact information for three current references
- Letter of interest (uploaded)
- Student’s Teaching Evaluations (if taught before)
Timeline: A review of applications will begin October 16, 2024; however, the position will remain open until filled.
The University is particularly interested in candidates who have experience working with students from diverse backgrounds and a demonstrated commitment to improving access to higher education for under-represented groups.
CSUSM has been designated as a Hispanic Serving Institution (HSI) and was named one of the top 32 Colleges most friendly to junior faculty by the Collaborative on Academic Careers in Higher Education. Visit Faculty Opportunities for more information.
California State University San Marcos is an Affirmative Action/Equal Opportunity Employer that is strongly committed to promoting diversity in all areas of the campus community. We consider qualified applicants for employment without regard to age, physical or mental disability, gender or sex, genetic information, gender identity, gender expression, marital status, medical condition, nationality, race or ethnicity, religion or religious creed, sexual orientation, and veteran or military status.
Per the California State University’s Out-of-State Employment Policy, the CSU is prohibited from hiring employees to perform CSU-related work outside California. Working in the State of California is a condition of employment
This position is subject to employment verification, education verification, reference checks and criminal record checks. An offer of appointment is contingent upon successful completion of a background check, including a criminal records check, and may be rescinded if the background check reveals disqualifying information and/or it is discovered that the candidate knowingly withheld or falsified information.
The person holding this position is considered a mandated reporter under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in in CSU Executive Order 1083 Revised December 22, 2020 as a condition of employment. An offer of employment is contingent upon execution of an Acknowledgement of Mandated Reporter Status and Legal Duty to Report Child Abuse and Neglect form. Signing the form is a prerequisite to employment and failure to sign will result in any offer of employment being withdrawn.
The CSU strongly recommends that all individuals who access any in-person program or activity (on- or off-campus) operated or controlled by the University follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications and comply with other safety measures established by each campus. The systemwide CSU Vaccination Policy can be reviewed at https://calstate.policystat.com/policy/13116180/latest/ . Questions should be sent to the Office of Human Resources at hr@csusm.edu.
Advertised: Oct 01 2024 Pacific Daylight Time
Applications close:Closing Date/Time:
