Lecturer (Job Id: 43086)

Updated: almost 2 years ago
Deadline: The position may have been removed or expired!

Job ID: 43086

Location: Public Health/Info Sc

Position Description

Part-Time Lecturer - Public Health - Biostatistics

The Department of Bioinformatics and Biostatistics seeks a temporary, part-time lecturer to teach PHST 561, 562, 563 and 301 in the summer semester. These courses will be offered  online, but occasional in-person meetings with the program director may be required. This position is open to master's-educated biostatisticians, statisticians mathematicians or engineers.

The prerequisite for these courses is conditional on full admission to the Master Science (MS) or Certificate in Biostatistics programs.

PHST  561 Mathematical Tools I (1 credit hour)
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS in Biostatistics degree. Course topics include: (1) functions and graphs with particular focus on polynomials and roots, rational functions, and exponential and logarithmic functions, and (2) limits and continuity of functions.

PHST  562 Mathematical Tools II (1 credit hour)
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS in Biostatistics degree. Course topics include: (1) first and higher order differentiation of single variable functions and techniques for differentiation, (2) applications of differentiation including identification of minima, maxima, and inflection points, (3) antiderivatives, the definite integral, and the Fundamental Theorem of Calculus, (4) techniques of integration including substitution, integration by parts, etc.; using integrals to compute areas, and (5) sequences and series, convergence of each, partial and infinite sums, geometric series, Taylor series.

PHST  563 Mathematical Tools III (1 credit hour)
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS in Biostatistics degree. Course topics include: (1) multivariable functions, limits, and continuity, (2) partial differentiation and its applications, and (3) multiple integration and its applications

PHST 301 Quantitative Methods in Public Health (online, 3 credit hours)
Prerequisite: MATH 111 or Global Health minor. The course is an introduction to the concepts and theory behind quantitative analysis methods used in public health. The content focuses on how and why different statistical methods are used with minimal emphasis on statistical calculations. The skills of critical thinking, communication, and teamwork are promoted and cultivated throughout this course.

Equal Employment Opportunity

The University of Louisville is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender identity and expression, marital status, pregnancy, or veteran status. If you are unable to use our online application process due to an impairment or disability, please contact the Employment team at [email protected] or 502.852.6258.

Faculty/Administrator

To apply for this position, follow the "Online App. Form" link below and then click on the "Apply Now". You must answer all required fields and submit your application by clicking the "Submit" button.  Detailed instructions are available at louisville.edu/jobs in the "My Career Tools" section.  Vacancies are routinely removed from the jobs portal around 7:00PM on the deadline date.  If the posting description requested that you follow up and mail or email other documents, your application will not be considered complete until those have been received by the department.

NOTE:

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If you require assistance or accommodation with our online application process, please contact us by email at [email protected] or by phone 502-852-6258.



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