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Job # 077984
Job Title Part-time Instructor in Applied Data Science, Information Management and Library Science
Location Syracuse, NY
Pay Range $5499.99 per 3 credit class
Pay Determination
Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified.
FLSA Status Exempt
Hours
Spring 2025, January -May 2025, on campus; days and times TBD. Graduate courses (500-700 level) are -taught once per week for 2 hours, 45 minutes. If a class is already scheduled, details are provided below.
Job Type Part-time
Rank PTI/Adjunct
Campus Syracuse, NY
Unionized Position Code UA
Job Description
We are interested in adjuncts/part-time instructors who can provide instruction and expertise in one or more of the following areas for our graduate students at the iSchool: Information Management and Technology, Information Resources, cloud management, Public Libraries, Applied Machine Learning. Please see specific classes below and their class description and note in your cover letter which class you are interested in teaching. Those from marginalized groups, women, and veterans are encouraged to apply.
o This course introduces concepts and practices for information technology management and policy in public and private organizations and provides an overview of general management principles and how various types of information technology (IT) are a key strategic and tactical enabler for most business functions. The course also highlights the role of policy for IT and corporate governance, service delivery, standards, privacy, rights, ethics, accessibility, and security. The course has assignments and case studies promoting a deeper understanding of how to apply IT management and policy concepts
o This course will equip students with skills in cloud enterprise service creation and management, and technical and business knowledge required for assessing opportunities and risks of cloud services. The course focuses on developing skills to manage cloud instances through lab assignments. Some of the labs use the services/infrastructure provided by top Cloud vendors in the market today. We note the course uses – cloud services – but some activities must be done in the student’s own accounts and machines. Conceptual themes will also be presented alongside technical aspects of cloud management.
o Thursdays 5:00-7:45pm
o This course is an introductory survey of principles, techniques, and standards used information systems to represent and organize information, especially those implemented in libraries and information centers. Goals of the course are twofold: (1) for those students that will not pursue a concentration in this area, to provide an overview of the topics, and (2) for those students who will concentrate in systems and technical services, to serve as a foundation course. The course covers the fundamental concepts of theory and practice in information organization, storage, and retrieval, including an introduction to existing systems and standards. Each topic is covered at the introductory level, expecting students who wish to pursue any of the areas to take further coursework.
o This seminar in public libraries explores aspects of the public library within the context of demographic and technological changes and shifting economic and political forces. This course will place emphasis on the interrelationship of the public library with these forces. This course supports the mission of the university by educating students about the potential of a powerful civic institution to increase opportunity for all members of their respective communities.
o An introduction to advanced machine learning techniques and algorithms with a focus on machine learning model building and optimization, real-world applications, communication, ethics, and future directions in the field. This course will introduce the application of advanced machine learning methods for extracting patterns and knowledge from data to address stakeholder needs. The principles and theories underlying the methods will be discussed, and methods will be related to the issues in applying to real business and research problems. Students will acquire hands-on experience using state-of-the art tools to apply the methods covered. A central focus in this course is on communication, including translating stakeholder needs into technical methods, and communicating results in a transparent and compelling manner.
The topics of the course will include the key tasks in applied machine learning, including data preparation, concept description, unsupervised and supervised techniques, deep learning, feature construction, optimization, evaluation, analysis, communication, and ethics. Through the exploration of the concepts and techniques of data analytics and practical exercises, students will develop skills that can be applied to business, science, or other organizational problems.
This is a “flipped” class, meaning that the materials are made available for you to review in advance of class meetings, and class meetings are reserved for working through examples and clarifying points of confusion. There will be weekly readings based on the textbook, weekly assignments and in class oral “quizzes” to check learning progress, several larger assignments, and an extended group project.
QualificationsBachelor’s degree required, Master’s degree preferred in Information Management, Computer Science, Data Science, Project Management, or related field. Those with an unrelated degree but with relevant experience or background in the field will be considered.
Applicants should also have knowledge and 3 years or more of real- world work experience with any of the topics described above.
Job Specific Qualifications
Responsibilities
Successful candidates will be prepared to serve as instructor and mentor and be willing to work with the Professor of Record, Program Director, and other instructors teaching this class. Our courses have a developed syllabus, exercises, and texts, however, we seek individuals who can bring their own experiences to the course.
Physical Requirements
NA
Tools/Equipment
NA
Application Instructions
In addition to completing an online application, please attach a curriculum vitae and cover letter.
About Syracuse University
Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience.
The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit http://www.syracuse.edu.
About the Syracuse area
Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal.
EEO Statement
Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.
Commitment to Supporting and Hiring Veterans
Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members.
Commitment to a Diverse and Inclusive Campus Community
Syracuse University maintains an inclusive learning environment in which students, faculty, administrators, staff, curriculum, social activities, governance, and all other aspects of campus life reflect a diverse, multi-cultural, and international worldview. The University community recognizes and values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to understand, live among, appreciate, and work in an inherently diverse country and world made up of people with different ethnic and racial backgrounds, military backgrounds, religious beliefs, socio-economic status, cultural traditions, abilities, sexual orientations and gender identities. To do so, we commit ourselves to promoting a community that celebrates and models the principles of diversity and inclusivity.
Quick Linkhttps://www.sujobopps.com/postings/106681
Job Posting Date 09/26/2024
Application Deadline
Open Until Filled Yes
Priority Consideration
Job Category Faculty
Message to Applicants
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