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DeVry University
DeVry University
1001 – 5000 Darbinieki
B2CIzglītība

DeVry University ir privāts, uz karjeru orientēts izglītības pakalpojumu sniedzējs, kas studentiem piedāvā tiešsaistē un universitātes pilsētiņā īstenotas bakalaura un maģistra studiju programmas, sertifikātu programmas un darbaspēka risinājumus. Tā studiju piedāvājums aptver tehnoloģiju, uzņēmējdarbības un veselības aprūpes jomas, tostarp kiberdrošību, programmatūras izstrādi, informācijas tehnoloģijas, grāmatvedību, veselības aprūpes administrēšanu, medicīnisko norēķinu kārtošanu un kodēšanu.

Universitāte atbalsta strādājošus pieaugušos un citus izglītojamos, nodrošinot karjeras pakalpojumus, darba devēju piedāvātus izglītības pabalstus, kā arī atbalstu militārpersonām un studentiem, kuri pāriet no citām izglītības iestādēm. Mācības ir praktiskas un orientētas uz karjeru. DeVry University ietver arī Keller Graduate School of Management, un darbinieki tiek pieņemti darbā plašākajā izglītības organizācijā.

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Vakances uzņēmumā

Remote Online Visiting Professor of Data Analytics

Teach undergraduate and graduate data analytics courses online at DeVry University. Develop course materials, assess student learning, and incorporate responsible AI into instruction.

USAmerikas Savienotās ValstisAttālinātiNepilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu analītiķis

Apraksts

  • Teach courses in line with DeVry University requirements.
  • Create syllabi and lesson plans, using teaching methods that support course and program objectives.
  • Prepare an approved syllabus using the local campus template and stating terminal course objectives.
  • Prepare, organize, review, and update course materials regularly.
  • Use online tools and course software, including websites, email, and discussion platforms, to prepare courses and provide student access.
  • Communicate effectively in writing and speech to engage students, clarify concepts, and support learning.
  • Publish course objectives, assignment and exam dates, and grading category weights so expectations are clear.
  • Align exam content and difficulty with the course’s terminal objectives.
  • Prepare and grade exams fairly and consistently, and provide feedback promptly.
  • Incorporate AI tools responsibly into classroom instruction.
  • Identify and address appropriate and inappropriate student use of AI in academic work.
  • Carry out other assigned duties.

Prasības

  • Doctorate in data analytics, data science, statistics, computer science, information systems, or a closely related field.
  • At least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline.
  • Upload unofficial graduate transcripts with the application.
  • Degrees must be from an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or from an international institution judged to hold equivalent accreditation.
  • Three to five years of applied professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support.
  • Demonstrated experience with analytics tools and programming environments, including statistical software, data visualization platforms, database technologies, and programming languages.
  • Industry-recognized certifications or professional credentials related to data analytics, data science, business intelligence, or statistical analysis.
  • Strong knowledge of data analytics concepts and methods.
  • Strong communication skills, including the ability to explain complex quantitative concepts to diverse learners.
  • Knowledge of ethical and responsible data practices, including governance, privacy, bias awareness, and responsible use of data in decision-making.
  • Additional requirements may apply based on state licensing, institutional policy, or accreditation standards.
  • Commitment to continued development in instructional technology, digital literacy, and responsible AI practices.

Priekšrocības

  • Comprehensive faculty training program.
  • Ongoing faculty development activities.
  • A blended learning environment combining face-to-face interaction with technology.
  • DeVry University does not guarantee a particular number of work hours or assignments; these may vary according to the University’s needs and discretion.

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