
Over 11 months, Markus Auer developed and enhanced the FH-Complete/FHC-Core repository, delivering 34 features and resolving 12 bugs across the full stack. He built robust tagging, note organization, and project-employee data models, modernized course and study program management, and implemented privacy-driven data handling. Markus applied technologies such as PHP, JavaScript, and Vue.js, focusing on backend validation, SQL optimization, and UI/UX refinement. His work emphasized maintainability, data integrity, and compliance, with improvements spanning API design, database schema updates, and frontend workflows. The depth of his engineering ensured scalable, reliable solutions that improved user productivity and safeguarded sensitive information.

September 2025 Monthly Summary for FH-Complete/FHC-Core: Delivered a set of high-impact front-end enhancements and reliability fixes that improve user experience, data integrity, and security. Key features delivered include: (1) Course comparison UI enhancements with autocomplete and dropdowns, plus improved compatibility table rendering and sorting (commits 0d1cf2b04310cd6995542f942f674782a6cb1b6f; 374c1b66b5997a37b924f6931189c19409f1565d). (2) Tag management and LV tag configurations overhaul, featuring read-only tags, new-tag-first display, improved tag sorting, and LVVerwaltung initialization (commits 396251b0613d8fea526f8382d5702fd1b1fb44a2; d027e62e75864cd25aefccb6447fdbbc3b6216ac; dff8223d3e8c593c03c0e7daf31804b93f4eaf71; 41dbd83bdb39cc1035e9a5bcd7d88b7910ffab19). (3) Study plan LV compatibility bug fix, removing incorrect compatibility checks to simplify logic and improve reliability (commit 0095595dd28ad985c6989d877bf5390bebe27cdb). (4) Teaching Unit management UI enhancements, including pre-selecting the correct semester on changes, LV parts copy options, and a dedicated Groups tab for clarity (commits ef56af633790177d4010a78e82e5abed9bcb61ff; 57531d956d1a0ef18e98ec4a50a4d5c1c3ed55a6). (5) Secure iframe content embedding component added in Vue.js for secure iframe rendering with URL extraction and legacy link replacement (commit 5efad50b62e4c27d18dd608f66f0c0a17efbee8f). Major bugs fixed include: (a) Study plan LV compatibility bug fix and (b) Note deletion error handling bug fix, both contributing to greater stability and data integrity. Overall impact: enhanced user experience, more reliable eligibility and study-plan checks, safer content embedding, and clearer UI workflows that reduce manual intervention. Technologies demonstrated: Vue.js frontend components, advanced UI patterns (autocomplete, tabbed interfaces, dynamic sorting), configuration and rules handling for study plans, and robust error handling.)
September 2025 Monthly Summary for FH-Complete/FHC-Core: Delivered a set of high-impact front-end enhancements and reliability fixes that improve user experience, data integrity, and security. Key features delivered include: (1) Course comparison UI enhancements with autocomplete and dropdowns, plus improved compatibility table rendering and sorting (commits 0d1cf2b04310cd6995542f942f674782a6cb1b6f; 374c1b66b5997a37b924f6931189c19409f1565d). (2) Tag management and LV tag configurations overhaul, featuring read-only tags, new-tag-first display, improved tag sorting, and LVVerwaltung initialization (commits 396251b0613d8fea526f8382d5702fd1b1fb44a2; d027e62e75864cd25aefccb6447fdbbc3b6216ac; dff8223d3e8c593c03c0e7daf31804b93f4eaf71; 41dbd83bdb39cc1035e9a5bcd7d88b7910ffab19). (3) Study plan LV compatibility bug fix, removing incorrect compatibility checks to simplify logic and improve reliability (commit 0095595dd28ad985c6989d877bf5390bebe27cdb). (4) Teaching Unit management UI enhancements, including pre-selecting the correct semester on changes, LV parts copy options, and a dedicated Groups tab for clarity (commits ef56af633790177d4010a78e82e5abed9bcb61ff; 57531d956d1a0ef18e98ec4a50a4d5c1c3ed55a6). (5) Secure iframe content embedding component added in Vue.js for secure iframe rendering with URL extraction and legacy link replacement (commit 5efad50b62e4c27d18dd608f66f0c0a17efbee8f). Major bugs fixed include: (a) Study plan LV compatibility bug fix and (b) Note deletion error handling bug fix, both contributing to greater stability and data integrity. Overall impact: enhanced user experience, more reliable eligibility and study-plan checks, safer content embedding, and clearer UI workflows that reduce manual intervention. Technologies demonstrated: Vue.js frontend components, advanced UI patterns (autocomplete, tabbed interfaces, dynamic sorting), configuration and rules handling for study plans, and robust error handling.)
FH-Complete/FHC-Core — August 2025: Delivered customer-facing features and reliability improvements with measurable business value. This period focused on enriching study tree navigation, improving exam workflows, and enhancing content management and localization.
FH-Complete/FHC-Core — August 2025: Delivered customer-facing features and reliability improvements with measurable business value. This period focused on enriching study tree navigation, improving exam workflows, and enhancing content management and localization.
July 2025: FH-Complete/FHC-Core delivered substantial course-management improvements and UI stability, yielding stronger data integrity, security, and user productivity. Key features delivered include Lehrveranstaltung/Lehreinheit management improvements; UI enhancements such as email-forwarding of notes, resource/type filtering, key management and contact data GUI, translations, and tree-state reset; and enhancement of duplicate detection logic with SQL (CTE-based). Major bugs fixed include permission validation and robust data retrieval (including LV plan delete URL frontend) and improved initialization for arrays. Overall impact: more reliable course data workflows, safer access control, and consistent UI behavior across sessions. Technologies/skills demonstrated: backend data validation, SQL optimization with CTEs, API enhancements, frontend UI/UX improvements, and internationalization.
July 2025: FH-Complete/FHC-Core delivered substantial course-management improvements and UI stability, yielding stronger data integrity, security, and user productivity. Key features delivered include Lehrveranstaltung/Lehreinheit management improvements; UI enhancements such as email-forwarding of notes, resource/type filtering, key management and contact data GUI, translations, and tree-state reset; and enhancement of duplicate detection logic with SQL (CTE-based). Major bugs fixed include permission validation and robust data retrieval (including LV plan delete URL frontend) and improved initialization for arrays. Overall impact: more reliable course data workflows, safer access control, and consistent UI behavior across sessions. Technologies/skills demonstrated: backend data validation, SQL optimization with CTEs, API enhancements, frontend UI/UX improvements, and internationalization.
June 2025 monthly summary for FH-Complete/FHC-Core focusing on privacy-driven feature delivery, cross-layer consistency, and value delivery across the stack.
June 2025 monthly summary for FH-Complete/FHC-Core focusing on privacy-driven feature delivery, cross-layer consistency, and value delivery across the stack.
May 2025: Delivered key features across FH-Complete/FHC-Core focusing on study program processing, privacy hardening, course distribution modernization, and reliability improvements. Core outcomes include bulk and individual study program actions via InfoCenter, robust input validation and error handling across controllers, privacy enhancement by removing SVNR in InfoCenter, and modernization of Lehrfächerverteilung with new API endpoints and UI. These changes enabled more accurate processing, safer data handling, improved UX for faculty and administrators, and a more scalable, API-driven architecture. Tech stack and practices demonstrated include backend validation, SQL-level filtering to prevent anomalies, comprehensive error handling, API design, and frontend UI integration.
May 2025: Delivered key features across FH-Complete/FHC-Core focusing on study program processing, privacy hardening, course distribution modernization, and reliability improvements. Core outcomes include bulk and individual study program actions via InfoCenter, robust input validation and error handling across controllers, privacy enhancement by removing SVNR in InfoCenter, and modernization of Lehrfächerverteilung with new API endpoints and UI. These changes enabled more accurate processing, safer data handling, improved UX for faculty and administrators, and a more scalable, API-driven architecture. Tech stack and practices demonstrated include backend validation, SQL-level filtering to prevent anomalies, comprehensive error handling, API design, and frontend UI integration.
April 2025 (FH-Complete/FHC-Core): Delivered key feature enhancements to certification data, streamlined LV creation workflow, and expanded infocenter information, while fixing a language-mapping issue in the phrase system. These changes improve data accuracy, reduce setup time, and enhance visibility of study-program details for users and stakeholders.
April 2025 (FH-Complete/FHC-Core): Delivered key feature enhancements to certification data, streamlined LV creation workflow, and expanded infocenter information, while fixing a language-mapping issue in the phrase system. These changes improve data accuracy, reduce setup time, and enhance visibility of study-program details for users and stakeholders.
Monthly summary for 2025-03 focusing on FH-Complete/FHC-Core: delivered robustness fixes, data accuracy improvements, and data enrichment enhancements. Refined codebase and prepared for deployment with cleanup and refactor efforts, reinforcing maintainability and future scalability.
Monthly summary for 2025-03 focusing on FH-Complete/FHC-Core: delivered robustness fixes, data accuracy improvements, and data enrichment enhancements. Refined codebase and prepared for deployment with cleanup and refactor efforts, reinforcing maintainability and future scalability.
February 2025 — Core FH-Complete/FHC-Core enhancements focused on localization, data filtering, and multilingual diploma generation, while stabilizing user workflows in time tracking. The work delivers measurable business value by clarifying course information for multilingual users, enabling precise and persistent data filtering for reporting, and producing localized diploma documentation with updated notifications.
February 2025 — Core FH-Complete/FHC-Core enhancements focused on localization, data filtering, and multilingual diploma generation, while stabilizing user workflows in time tracking. The work delivers measurable business value by clarifying course information for multilingual users, enabling precise and persistent data filtering for reporting, and producing localized diploma documentation with updated notifications.
January 2025 – FH-Complete/FHC-Core: Delivered localization improvements, data-model enhancements, and performance optimizations that drive better global usability and analytics reliability. Key outcomes include standardized internationalization phrases and UI labels, a revamped course factor data model with a new lehrform_kurzbz field, performance-focused indexing, and refined permission controls for report access. Also addressed a missing file to stabilize CI and introduced filter and SQL optimizations to improve data discoverability.
January 2025 – FH-Complete/FHC-Core: Delivered localization improvements, data-model enhancements, and performance optimizations that drive better global usability and analytics reliability. Key outcomes include standardized internationalization phrases and UI labels, a revamped course factor data model with a new lehrform_kurzbz field, performance-focused indexing, and refined permission controls for report access. Also addressed a missing file to stabilize CI and introduced filter and SQL optimizations to improve data discoverability.
December 2024: Delivered significant enhancements to FH-Complete/FHC-Core that improve data integrity, security, and user productivity. Implemented Tag System Improvements and UI Refresh, expanded the Notiz data model with a typ column and a dedicated tbl_notiz_typ table (with ON DELETE CASCADE), and enhanced data filtering and form validation for faster, more accurate data operations. Tightened Course Access Control and advanced Student Status Notifications and workflow updates to improve governance and stakeholder communication. Resolved a critical cascade delete bug for tbl_notiz to preserve referential integrity. These changes enable clearer tagging for planning, robust data modeling, improved UX, and stronger access controls, driving better decision-making and reduced support overhead.
December 2024: Delivered significant enhancements to FH-Complete/FHC-Core that improve data integrity, security, and user productivity. Implemented Tag System Improvements and UI Refresh, expanded the Notiz data model with a typ column and a dedicated tbl_notiz_typ table (with ON DELETE CASCADE), and enhanced data filtering and form validation for faster, more accurate data operations. Tightened Course Access Control and advanced Student Status Notifications and workflow updates to improve governance and stakeholder communication. Resolved a critical cascade delete bug for tbl_notiz to preserve referential integrity. These changes enable clearer tagging for planning, robust data modeling, improved UX, and stronger access controls, driving better decision-making and reduced support overhead.
November 2024 monthly summary for FH-Complete/FHC-Core: focused feature delivery around tagging, note organization, and project-employee data modeling. No major bugs reported; improvements span backend controllers/models, frontend UI, and SQL/schema updates, delivering structured metadata and a foundation for scalable reporting.
November 2024 monthly summary for FH-Complete/FHC-Core: focused feature delivery around tagging, note organization, and project-employee data modeling. No major bugs reported; improvements span backend controllers/models, frontend UI, and SQL/schema updates, delivering structured metadata and a foundation for scalable reporting.
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