Computer science lecturers are subject professors, teachers, or lecturers who instruct students who have obtained an upper secondary education diploma in their own specialised field of study, computer science, which is predominantly academic in nature. They work with their university research assistants and university teaching assistants for the preparation of lectures and of exams, grading papers and exams and leading review and feedback sessions for the students. They also conduct academic research in their field of computer science, publish their findings and liaise with other university colleagues.
ISCO skill level is defined as a function of the complexity and range of tasks and duties to be performed in an occupation. It is measured on a scale from 1 to 4, with 1 the lowest level and 4 the highest, by considering:
the nature of the work performed in an occupation in relation to the characteristic tasks and duties
the level of formal education required for competent performance of the tasks and duties involved and
the amount of informal on-the-job training and/or previous experience in a related occupation required for competent performance of these tasks and duties.
Computer science lecturer is a Skill level 4 occupation.
These occupations require some skills and knowledge of computer science lecturer. They also require other skills and knowledge, but at a higher ISCO skill level, meaning these occupations are accessible from a position of computer science lecturer with a significant experience and/or extensive training.
This knowledge should be acquired through learning to fulfill the role of computer science lecturer.
Haskell: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Haskell. Erlang: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Erlang. Sas language: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in SAS language. Ruby (computer programming): The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Ruby. Common lisp: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Common Lisp. Lisp: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Lisp. Visual studio .net: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Visual Basic. Adobe photoshop: The computer program Adobe Photoshop is a graphical ICT tool which enables digital editing and composition of graphics to generate both 2D raster or 2D vector graphics. It is developed by the software company Adobe. Java (computer programming): The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Java. Computer programming: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) and of programming languages. 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Assembly (computer programming): The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Assembly. Gimp (graphics editor software): The computer program GIMP is a graphical ICT tool which enables digital editing and composition of graphics to generate both 2D raster or 2D vector graphics. It is developed by The GIMP Development Team. C#: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in C#. R: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in R. Groovy: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Groovy. 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Sketchbook pro: The computer program SketchBook Pro is a graphical ICT tool which enables digital editing and composition of graphics to generate both 2D raster or 2D vector graphics. It is developed by the software company Autodesk. Typescript: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in TypeScript. Microsoft visio: The computer program Microsoft Visio is a graphical ICT tool which enables digital editing and composition of graphics to generate both 2D raster or 2D vector graphics. It is developed by the software company Microsoft. Coffeescript: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in CoffeeScript. Objective-c: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Objective-C. 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Computer technology: Computers, computer networks and other information technologies and equipment that can store, retrieve, transmit and manipulate data. Cobol: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in COBOL. Pascal (computer programming): The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Pascal. Abap: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in ABAP. Curriculum objectives: The goals identified in curricula and defined learning outcomes. Scala: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Scala.
These skills are necessary for the role of computer science lecturer.
Guarantee students’ safety: Ensure all students falling under an instructor or other person’s supervision are safe and accounted for. Follow safety precautions in the learning situation. Prepare lesson content: Prepare content to be taught in class in accordance with curriculum objectives by drafting exercises, researching up-to-date examples etc. Monitor developments in field of expertise: Keep up with new research, regulations, and other significant changes, labour market related or otherwise, occurring within the field of specialisation. Compile course material: Write, select or recommend a syllabus of learning material for the students enrolled in the course. Liaise with educational support staff: Communicate with education management, such as the school principal and board members, and with the education support team such as the teaching assistant, school counsellor or academic advisor on issues relating the students’ well-being. Apply teaching strategies: Employ various approaches, learning styles, and channels to instruct students, such as communicating content in terms they can understand, organising talking points for clarity, and repeating arguments when necessary. Use a wide range of teaching devices and methodologies appropriate to the class content, the learners’ level, goals, and priorities. Assess students: Evaluate the students’ (academic) progress, achievements, course knowledge and skills through assignments, tests, and examinations. Diagnose their needs and track their progress, strengths, and weaknesses. Formulate a summative statement of the goals the student achieved. Assist students with equipment: Provide assistance to students when working with (technical) equipment used in practice-based lessons and solve operational problems when necessary. Write work-related reports: Compose work-related reports that support effective relationship management and a high standard of documentation and record keeping. Write and present results and conclusions in a clear and intelligible way so they are comprehensible to a non-expert audience. Demonstrate when teaching: Present to others examples of your experience, skills, and competences that are appropriate to specific learning content to help students in their learning. Teach computer science: Instruct students in the theory and practice of computer science, more specifically in the development of software systems, programming languages, artificial intelligence, and software security. Give constructive feedback: Provide founded feedback through both criticism and praise in a respectful, clear, and consistent manner. Highlight achievements as well as mistakes and set up methods of formative assessment to evaluate work. Perform classroom management: Maintain discipline and engage students during instruction. Apply intercultural teaching strategies: Ensure that the content, methods, materials and the general learning experience is inclusive for all students and takes into account the expectations and experiences of learners from diverse cultural backgrounds. Explore individual and social stereotypes and develop cross-cultural teaching strategies. Liaise with educational staff: Communicate with the school staff such as teachers, teaching assistants, academic advisors, and the principal on issues relating to students’ well-being. In the context of a university, liaise with the technical and research staff to discuss research projects and courses-related matters. Develop course outline: Research and establish an outline of the course to be taught and calculate a time frame for the instructional plan in accordance with school regulations and curriculum objectives. Use it tools: Application of computers, computer networks and other information technologies and equipment to storing, retrieving, transmitting and manipulating data, in the context of a business or enterprise.
This knowledge is sometimes, but not always, required for the role of computer science lecturer. However, mastering this knowledge allows you to have more opportunities for career development.
Incremental development: The incremental development model is a methodology to design software systems and applications. Computer history: The history of computer development framed in a digitising society. Assessment processes: Various evaluation techniques, theories, and tools applicable in the assessment of students, participants in a programme, and employees. Different assessment strategies such as initial, formative, summative and self- assessment are used for varying purposes. Iterative development: The iterative development model is a methodology to design software systems and applications. Funding methods: The financial possibilities for funding projects such as the traditional ones, namely loans, venture capital, public or private grants up to alternative methods such as crowdfunding. Javascript: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in JavaScript. Php: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in PHP. Spiral development: The spiral development model is a methodology to design software systems and applications. Web programming: The programming paradigm that is based on combining markup (which adds context and structure to text) and other web programming code, such as AJAX, javascript and PHP, in order to carry out appropriate actions and visualise the content. Waterfall development: The waterfall development model is a methodology to design software systems and applications. Ict communications protocols: The system of rules which allow the exchange of information between computers or other devices via computer networks. Unified modelling language: The general-purpose modelling language used in software development to offer a standard visualisation of system designs. Learning difficulties: The learning disorders some students face in an academic context, especially Specific Learning Difficulties such as dyslexia, dyscalculia, and concentration deficit disorders. Software design methodologies: The methodologies such as Scrum, V-model and Waterfall to design software systems and applications. Rapid application development: The rapid application development model is a methodology to design software systems and applications. Ajax: The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in AJAX. University procedures: The inner workings of a university, such as the structure of the relevant education support and management, the policies, and the regulations. Agile development: The agile development model is a methodology to design software systems and applications. Principles of artificial intelligence: The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories. Prototyping development: The prototyping development model is a methodology to design software systems and applications. Scientific research methodology: The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results. Devops: The DevOps development approach is a methodology to design software systems and applications focused on the collaboration and between software programmers and other ICT professionals and automation.
These skills and competences are sometimes, but not always, required for the role of computer science lecturer. However, mastering these skills and competences allows you to have more opportunities for career development.
Assist in the organisation of school events: Provide assistance in the planning and organisation of school events, such as the school’s open house day, a sports game or a talent show. Supervise educational staff: Monitor and evaluate the actions of the educational staff such as teaching or research assistants and teachers and their methods. Mentor, train, and give advice to them if necessary. Serve on academic committee: Contribute to university or college managerial decisions, such as budgetary issues, school policy reviews and recommendations, department promotions, and hiring of new staff members. This may also include participation in discussions around educational policy reforms. Facilitate teamwork between students: Encourage students to cooperate with others in their learning by working in teams, for example through group activities. Establish collaborative relations: Establish a connection between organisations or individuals which may benefit from communicating with one another in order to facilitate an enduring positive collaborative relationship between both parties. Conduct scholarly research: Plan scholarly research by formulating the research question and conducting empirical or literature research in order to investigate the truth of the research question. Discuss research proposals: Discuss proposals and projects with researchers, decide on resources to allocate and whether to move forward with the study. Monitor educational developments: Monitor the changes in educational policies, methodologies and research by reviewing relevant literature and liaising with education officials and institutions. Participate in scientific colloquia: Take part in symposia, international experts’ conferences, and congresses to present research projects, methods, and results and to gather information on developments in academic research. Develop curriculum: Develop and plan the learning goals and outcomes for education institutions, as well as the required teaching methods and potential education resources. Conduct quantitative research: Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques. Manage resources for educational purposes: Identify the necessary resources needed for learning purposes, such as materials in class or arranged transportation for a field trip. Apply for the corresponding budget and follow up on the orders. Assist students with their dissertation: Support university students with the writing of their paper or theses. Advise on research methods or additions to certain parts of their dissertations. Report different types of errors, such as research or methodological errors, to the student. Keep records of attendance: Keep track of the pupils who are absent by recording their names on a list of absentees. Work with virtual learning environments: Incorporate the use of online learning environments and platforms into the process of instruction. Provide technical expertise: Provide expert knowledge in a particular field, especially concerning mechanical or scientific subjects, to decision makers, engineers, technical staff or journalists. Teach digital literacy: Instruct students in the theory and practice of (basic) digital and computer competency, such as typing efficiently, working with basic online technologies, and checking email. This also includes coaching students in the proper use of computer hardware equipment and software programmes. Present reports: Display results, statistics and conclusions to an audience in a transparent and straightforward way. Provide lesson materials: Ensure that the necessary materials for teaching a class, such as visual aids, are prepared, up-to-date, and present in the instruction space. Assist students in their learning: Support and coach students in their work, give learners practical support and encouragement. Supervise doctoral students: Assist students working on a doctorate in specifying their research question and deciding on a methodology. Monitor their progress and conduct quality reviews of their work. Conduct qualitative research: Gather relevant information by applying systematic methods, such as interviews, focus groups, text analysis, observations and case studies. Provide career counselling: Advise beneficiaries on future career options through counselling and, potentially, through career testing and evaluation.
