Planning Courses for Student Success at the American College of Greece

References

• Babaei H, Karimpur J, Hadidi A (2015) A survey of approaches for university course timetabling problem. Comput. Indust. Engrg. 86:43–59.Google Scholar
• Bowman RA (2021) Developing optimal student plans of study. INFORMS J. Appl. Analytics 51(6):409–421.Link, Google Scholar
• Castro C, Manzano S (2001) Variable and value ordering when solving balanced academic curriculum problems. 6th Workshop ERCIM WG on Constraints (ERCIM Constraints, Prague, Czech Republic).Google Scholar
• Ceschia S, di Gaspero L, Schaerf A (2023) Educational timetabling: Problems, benchmarks, and state-of-the-art results. Eur. J. Oper. Res. 308(1):1–18.Google Scholar
• Chiarandini M (2012) The balanced academic curriculum problem revisited. J. Heuristics 18:119–148.Google Scholar
• Christou IT (2011) Quantitative Methods in Supply Chain Management: Models and Algorithms (Springer, London).Google Scholar
• Christou IT (2019) Avoiding the hay for the needle in the stack: Online rule pruning in rare events detection. IEEE Internat. Sympos. Wireless Comm. Systems (ISWCS) (Institute of Electrical and Electronics Engineers, Piscataway, NJ).Google Scholar
• Christou IT, Amolochitis E, Tan Z-H (2018) A parallel/distributed algorithmic framework for mining all quantitative association rules. Preprint, submitted April 18, https://arxiv.org/abs/1804.06764.Google Scholar
• Christou IT, Kefalakis N, Soldatos JK, Despotopoulou A-M (2022) End-to-end industrial IoT platform for Quality 4.0 applications. Comput. Indust. 137:103591.Google Scholar
• Comm CL, Mathaisel DFX (1988) College course scheduling: A market for computer software support. J. Res. Comput. Ed. 21(2):187–195.Google Scholar
• Garcia C (2019) Practice summary: Managing capacity at the University of Mary Washington’s College of Business. INFORMS J. Appl. Analytics 49(2):167–171.Link, Google Scholar
• Gonzalez G, Richards C, Newman A (2018) Optimal course scheduling for United States Air Force Academy cadets. Interfaces 48(3):217–234.Link, Google Scholar
• Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial networks. Preprint, submitted June 10, https://arxiv.org/abs/1406.2661.Google Scholar
• Gurobi Optimization LLC (2022a) Gurobi Optimizer reference manual. Accessed August 2022, https://www.gurobi.com.Google Scholar
• Gurobi Optimization LLC (2022b) Gurobi Java interface. Accessed August 17, 2023, https://support.gurobi.com/hc/en-us/articles/14799677517585-Getting-Started-with-Gurobi-Optimizer.Google Scholar
• Gutierrez-Rojas D, Christou IT, Dantas D, Narayanan A, Nardelli PHJ, Yang Y (2022) Performance evaluation of machine learning for fault selection in power transmission lines. Knowledge Inform. Systems 64(3):859–883.Google Scholar
• Heileman GE, Thompson-Arjona WG, Abar O, Free HW (2019) Does curricular complexity imply program quality? Proc. ASEE Annual Conf. (American Society for Engineering Education, Washington, DC).Google Scholar
• Hnich B, Kızıltan Z, Walsh T (2002) Modelling a balanced academic curriculum problem. Proc. CPAIOR’02 (Kent, UK), 121–131.Google Scholar
• Kassa BA (2015) Implementing a class-scheduling system at the College of Business and Economics of Bahir Dar University, Ethiopia. Interfaces 45(3):203–215.Link, Google Scholar
• Lin W-C, Tsai C-F (2020) Missing value imputation: A review and analysis of the literature (2006–2017). Artificial Intelligence Rev. 53:1487–1509.Google Scholar
• Miranda J (2010) eClasSkeduler: A course scheduling system for the executive education unit at the Universidad de Chile. Interfaces 40(3):196–207.Link, Google Scholar
• Monette J-N, Schaus P, Zampelli S, Deville Y, Dupont P (2007) A CP approach to the balanced academic curriculum problem. Proc. 7th Internat. Satellite Workshop CP 2007 (Association for Constraint Programming, France).Google Scholar
• Schaerf A (1999) A survey of automated timetabling. Artificial Intelligence Rev. 13(2):87–127.Google Scholar
• Slim A (2016) Curricular analytics in higher education. Unpublished PhD thesis, Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM.Google Scholar
• Strichman O (2017) Near-optimal course scheduling at the Technion. Interfaces 47(6):537–554.Link, Google Scholar
• Takada K, Miyazawa Y, Yamamoto Y, Imada Y, Tsuruta S, Knauf R (2013) Curriculum optimization by correlation analysis and its validation. Holzinger A, Pasi G, eds. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. HCI-KDD 2013. Lecture Notes in Computer Science, vol. 7947 (Springer, Berlin, Heidelberg).Google Scholar
• Thompson-Arjona WG (2019) Curricular optimization: Solving for the optimal student success pathway. Unpublished MSc thesis, Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY.Google Scholar
• Unal YZ, Uysal O (2014) A new mixed integer programming model for curriculum balancing: Application to a Turkish university. Eur. J. Oper. Res. 238(1):339–347.Google Scholar
• Wolsey LA, Nemhauser G (1988) Integer and Combinatorial Optimization (Wiley, Hoboken, NJ).Google Scholar