The question of whether we could do a trial period came up, so somewhere in the back of our minds we knew that the standard hiring system just doesn’t work very well with people for our industry. Recently we’ve gone through some interviews for new developers, and have run across the old issue of: you never really know whom you’re going to get after the hiring is done. And it’s something that I as a developer would love to see as the norm for employment within our industry. This may be one of the smartest ways to hire applicants for small web shops in the future. An apprenticeship should be a period of coaching, learning and growth for the apprentice all in the hopes of “raising” a developer who will add value to the entire team, not just the developers they’ll be working beside.Īn apprenticeship should grow the techniques and skills the person has in order to create a person who is capable of functioning at the same level as the other team members. Consider apprenticeships in a way, shortcuts to knowledge and wisdom. An apprentice is a person who is training under experienced professionals in order to learn and apply the skills they’ve initially learned either through schooling or on their own. These differ from standard internships in the idea that there is more value and training with an apprentice than on an unpaid intern. Introduction to programming and to algorithm design and analysis.The idea of running Apprenticeships instead of Internships was discussed in a session given by Sparkbox who have recently run a couple of apprenticeships. Introduction to a modern object-oriented programming language, building and maintaining large projects, and understanding the operating system interface.Ī first course in computer science for those intending to take advanced computer science courses. Introduction to modeling techniques, neural networks, problem-solving methods, heuristics, search, logic, knowledge representation, machine learning, and production systems. Introduction to Artificial Intelligence.Systematic study of data structures encountered in computing problems, structure and use of storage media, methods of representing structured data, and techniques for operating on data structures. Relationships among languages, properties, features of languages, and the computer environment necessary to use languages. Systematic approach to programming languages. Analysis of the performance of specific algorithms, such as those for searching and sorting. General methods for analysis of algorithms. Project repositoryĪlgorithm design methodology. with ~90% accuracy.Ĭlass project for Introduction to Artificial Intelligence. Given a set of character training data, builds a model for the prediction of alphanumeric characters. Tests a set of given websites for accessibility and performance using Google Lighthouse's JavaScript API.Ĭreated for Indiana University's Office for the Vice Provost of Education. Prototype evaluator intended to be used for beginning computer science studentsĪt Indiana University under the supervision of Chung-chieh Shan and Sam Tobin-Hochstadt. The recruitment and marketing page for the Sparkbox Apprenticeship.Ī live evaluator for the Beginning Student Language. My Codepen, where I've put some of my small projects/proof of concepts. As a full stack apprentice developing the new apprentices marketing page.
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